PRODUCTION TECHNICIANS NEEDED IN TELFORD, SHROPSHIRE Are you looking for a permanent job in the Telford area, and have you previously worked in the Food Manufacturing, Food Packaging, Packaging, FMCG, Print, Pharmaceutical or Manufacturing industry? Due to significant growth, business investment and 2 new production lines being installed last year, we are looking for 10 Production Technicians to join a food manufacturing business in Telford on a permanent basis. The hiring manager is looking for someone that lives within a 25 mile radius of Telford (Shropshire). You will be working on a 4 on 4 off shift pattern (rotating 12 hour days and nights shifts), the starting salary is just over £33,733 per annum, initially rising to just under £39,500 per annum, and then finally increase to just under £43,500 per annum once fully signed off and trained. This will be a 2 stage interview process, with the first stage consisting of a numeracy and literacy assessment on site in Telford, Shropshire. These roles would be a great fit for someone who has previously worked as a Manufacturing Technician, Senior Operator, Skilled Operator, Technical Operator, Process Operator, Skilled Machine Operator, Machine Setter or Skilled Machinist within a production/manufacturing facility. What You Will Do: Take ownership of the production line's performance, ensuring it runs efficiently and smoothly. Lead a team of machine operators, training them and driving performance to achieve targets. Spot potential faults, investigate issues, and problem-solve to prevent downtime. Drive continuous improvement by supporting and refining processes to boost productivity. Ensure 100% compliance with Food Safety, Quality, and Health & Safety standards. Operate the line according to standard operating procedures, including start-ups and changeovers. What You Will Bring: A minimum of 3 years experience running machinery and being able to fault find and capture data. A strong technical mindset and a passion for working with machinery. Experience in a fast-paced production environment, ideally within the food or processing industry. Proven problem-solving skills and the ability to take action to ensure delivery. A flexible and enthusiastic approach, thriving under pressure and within a team. A drive for continuous improvement and a keen interest in learning new techniques and technologies. This role is pivotal to the company's goals of maintaining exceptional production standards and pushing the boundaries of innovation. The company values determination, quality, integrity, and teamwork, and they are looking for individuals who align with these principles to contribute to their continued success. Location: The role is based in the Stafford Park area of Telford (Shropshire). Interested?: If you're ready to take on this exciting challenge as a Production Technician and make a real impact, don't wait-apply today to join a company that values your skills and ambition! Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Mar 19, 2026
Full time
PRODUCTION TECHNICIANS NEEDED IN TELFORD, SHROPSHIRE Are you looking for a permanent job in the Telford area, and have you previously worked in the Food Manufacturing, Food Packaging, Packaging, FMCG, Print, Pharmaceutical or Manufacturing industry? Due to significant growth, business investment and 2 new production lines being installed last year, we are looking for 10 Production Technicians to join a food manufacturing business in Telford on a permanent basis. The hiring manager is looking for someone that lives within a 25 mile radius of Telford (Shropshire). You will be working on a 4 on 4 off shift pattern (rotating 12 hour days and nights shifts), the starting salary is just over £33,733 per annum, initially rising to just under £39,500 per annum, and then finally increase to just under £43,500 per annum once fully signed off and trained. This will be a 2 stage interview process, with the first stage consisting of a numeracy and literacy assessment on site in Telford, Shropshire. These roles would be a great fit for someone who has previously worked as a Manufacturing Technician, Senior Operator, Skilled Operator, Technical Operator, Process Operator, Skilled Machine Operator, Machine Setter or Skilled Machinist within a production/manufacturing facility. What You Will Do: Take ownership of the production line's performance, ensuring it runs efficiently and smoothly. Lead a team of machine operators, training them and driving performance to achieve targets. Spot potential faults, investigate issues, and problem-solve to prevent downtime. Drive continuous improvement by supporting and refining processes to boost productivity. Ensure 100% compliance with Food Safety, Quality, and Health & Safety standards. Operate the line according to standard operating procedures, including start-ups and changeovers. What You Will Bring: A minimum of 3 years experience running machinery and being able to fault find and capture data. A strong technical mindset and a passion for working with machinery. Experience in a fast-paced production environment, ideally within the food or processing industry. Proven problem-solving skills and the ability to take action to ensure delivery. A flexible and enthusiastic approach, thriving under pressure and within a team. A drive for continuous improvement and a keen interest in learning new techniques and technologies. This role is pivotal to the company's goals of maintaining exceptional production standards and pushing the boundaries of innovation. The company values determination, quality, integrity, and teamwork, and they are looking for individuals who align with these principles to contribute to their continued success. Location: The role is based in the Stafford Park area of Telford (Shropshire). Interested?: If you're ready to take on this exciting challenge as a Production Technician and make a real impact, don't wait-apply today to join a company that values your skills and ambition! Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £70,000 and £80,000 plus bonus and benefits. This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a time where they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency. The Company They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model. The Role Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour. Build data-driven workflows that improve operational processes and automate manual tasks. Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants. Shape project plans, define requirements, and communicate insights to senior stakeholders. Deliver end-to-end modelling, from scoping and feature design to deployment and iteration. Act as the most senior data science practitioner, setting foundations for how the function will scale. Your Skills and Experience Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions. Proficiency in Python and experience working with cloud environments, ideally Azure. Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes. Comfortable collaborating with stakeholders across commercial, operations, and technology. Broad skill set across supervised learning, workflow automation, and hands-on engineering. STEM academic background with strong analytical foundations. What They Offer Competitive salary plus bonus and full benefits. Hybrid working with a minimum of one office day per week. The chance to build a new data science capability in a growing team. High visibility with opportunities to shape strategy, tooling, and delivery standards. Future headcount growth, including adjacent roles such as ML Ops. How to Apply If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.
Mar 19, 2026
Full time
Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £70,000 and £80,000 plus bonus and benefits. This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a time where they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency. The Company They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model. The Role Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour. Build data-driven workflows that improve operational processes and automate manual tasks. Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants. Shape project plans, define requirements, and communicate insights to senior stakeholders. Deliver end-to-end modelling, from scoping and feature design to deployment and iteration. Act as the most senior data science practitioner, setting foundations for how the function will scale. Your Skills and Experience Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions. Proficiency in Python and experience working with cloud environments, ideally Azure. Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes. Comfortable collaborating with stakeholders across commercial, operations, and technology. Broad skill set across supervised learning, workflow automation, and hands-on engineering. STEM academic background with strong analytical foundations. What They Offer Competitive salary plus bonus and full benefits. Hybrid working with a minimum of one office day per week. The chance to build a new data science capability in a growing team. High visibility with opportunities to shape strategy, tooling, and delivery standards. Future headcount growth, including adjacent roles such as ML Ops. How to Apply If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.
Senior Machine Learning Engineer Cambridge to £90k Do you have experience of solving real-world problems via Machine Learning techniques? You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning click apply for full job details
Mar 18, 2026
Full time
Senior Machine Learning Engineer Cambridge to £90k Do you have experience of solving real-world problems via Machine Learning techniques? You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning click apply for full job details
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Mar 18, 2026
Full time
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Mar 18, 2026
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Job Title: Managing Consultant - Customer Data Analytics / Data Science Salary: £77,000-£88,000 + £8,000 bonus Location: Hybrid (UK-based) Type: Permanent About the Role We're partnering with a global consultancy at the intersection of data, AI, and design to appoint a Managing Consultant - Customer Data Analytics / Data Science. This role is ideal for a data leader who combines strong analytics expertise with the ability to inspire teams and shape client success. You'll lead customer analytics and Generative AI projects, develop people, and contribute to business growth while keeping hands-on involvement with advanced data solutions. What You'll Do Lead the delivery of customer data and AI-driven analytics projects, ensuring quality and impact. Manage and mentor junior consultants and data scientists, supporting their professional development. Apply LLM and Generative AI techniques to real-world marketing and customer use cases. Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data-driven solutions using Python and ML methods (predictive, classification, forecasting, deep learning). What You'll Bring 6+ years' experience in data science, analytics, or consulting. Proven success operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI-powered solutions. Proficiency in Python, machine learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background - leadership, commercial awareness, and consulting mindset are key. Why This Role Work on cutting-edge customer and AI projects for global brands. Step up in leadership while maintaining technical and strategic variety. No hard sales target, but exposure to soft business development and career growth toward senior management. If you're ready to lead teams, shape projects, and bring AI-driven customer insights to life, we'd love to hear from you. Rates depend on experience and client requirements
Mar 18, 2026
Full time
Job Title: Managing Consultant - Customer Data Analytics / Data Science Salary: £77,000-£88,000 + £8,000 bonus Location: Hybrid (UK-based) Type: Permanent About the Role We're partnering with a global consultancy at the intersection of data, AI, and design to appoint a Managing Consultant - Customer Data Analytics / Data Science. This role is ideal for a data leader who combines strong analytics expertise with the ability to inspire teams and shape client success. You'll lead customer analytics and Generative AI projects, develop people, and contribute to business growth while keeping hands-on involvement with advanced data solutions. What You'll Do Lead the delivery of customer data and AI-driven analytics projects, ensuring quality and impact. Manage and mentor junior consultants and data scientists, supporting their professional development. Apply LLM and Generative AI techniques to real-world marketing and customer use cases. Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data-driven solutions using Python and ML methods (predictive, classification, forecasting, deep learning). What You'll Bring 6+ years' experience in data science, analytics, or consulting. Proven success operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI-powered solutions. Proficiency in Python, machine learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background - leadership, commercial awareness, and consulting mindset are key. Why This Role Work on cutting-edge customer and AI projects for global brands. Step up in leadership while maintaining technical and strategic variety. No hard sales target, but exposure to soft business development and career growth toward senior management. If you're ready to lead teams, shape projects, and bring AI-driven customer insights to life, we'd love to hear from you. Rates depend on experience and client requirements
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Mar 17, 2026
Full time
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.
Mar 17, 2026
Full time
The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.
We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Mar 16, 2026
Full time
We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
We are seeking a highly experienced Health & Safety Managerto drive safety strategy, compliance, and continuous improvement across all operational sites and field-based teams. This is a senior role with responsibility for the health, safety, and food hygiene of approximately 715 engineering, merchandising and logistics staff, across 13 depots and 2 office sites in the UK and Republic of Ireland. The successful candidate will champion a proactive safety culture, ensure compliance with all legal and operational H&S requirements, and provide leadership in training, auditing, and risk management. The role leads the development, implementation, and continuous improvement of facilities and health and safety strategies to ensure legal compliance and the promotion of a safe, efficient, and well-managed working environment for all employees across all levels of the organisation. The successful candidate will drive safety initiatives, manage regulatory requirements, deliver training programs, and foster a proactive safety culture while maintaining a workplace that supports business effectiveness and employee wellbeing. As a 24/7 food & drinks distribution and technology led powerhouse, Selecta provides millions of moments of joy to its end consumers throughout Europe. Our solutions include digital Vending Machines, Coffee Machines, Smart Fridges, Snack Markets and more. As such, we are uniquely positioned to address the needs of our clients and their consumers in the new hybrid work environment. Your Key Duties & Responsibilities: Monitor and enforce Health & Safety standards across all installation activities, including HGV operations, machine installations, relocations, and removals. Conduct risk assessments for installation and other customer movements as required, including but not limited to equipment handling, lifting operations, and vehicle-based work. Managing site access permits via customer portals, as required. Carry out regular site inspections and audits, ensuring compliance with company H&S policies and statutory requirements. Investigate accidents, incidents, and near-misses in field operations; implement corrective and preventive actions. Support and deliver toolbox talks, on-site training, and awareness campaigns for field staff. Maintain accurate H&S records, including risk assessments, incident reports, and training documentation. Provide guidance and advice to installation teams and supervisors on safe work practices, lifting equipment, manual handling, and vehicle operations. Promote a proactive safety culture among all field-based teams. Health & Safety Leadership: Own the company's Health & Safety strategy and compliance framework. Control of H&S, including Food Safety & Hygiene, across 11 depot sites and 2 Office sites (including any new site launches, closures and future relocation's.) Responsibility for the Health and Safety of Engineering, Merchandising and logistics field-based staff (circa 715 employees) To monitor, review and maintain Health and Safety policies and practices, making recommendations and implementing new policies and procedures as required. Deliver and support training programs, toolbox talks, and health & safety campaigns across all levels of the business. Assist in identifying training needs and develop, coordinate, and deliver targeted health and safety training to ensure employee awareness and compliance. Create, lead, and coordinate a Health & Safety Committee, ensuring representation from key functions and site locations, appointing and supporting local Health & Safety Champions at each depot to drive site-level engagement, compliance, and continuous improvement. Implementing and maintaining health and safety systems and procedures to meet specific requirements such as: checks, audits, investigations, risk assessments and accident reporting. This includes the Control of Substances Hazardous to Health (COSHH). To investigate, or where appropriate assisting others in investigating, the circumstances and causes of accidents and take necessary steps to prevent a recurrence. Monitor the services provided to external clients (CDM) and ensure that the team responds proactively to programme constraints. Oversee the preparation, maintenance and distribution of CDM Health and Safety files. Ensure HACCP is effective, building a 'culture' which drives Food Safety throughout all depot sites, ensuring that hygiene standards are being met. Management of food safety non compliances through hold and concession processes, including decision making with regards to Holds in accordance with PIUK standards A key communicator on Food Safety and Sanitation initiatives within the UK Own and manage the organisational Health & Safety E-learning platform, ensuring content is up to date, relevant, and aligned with legal and operational requirements. Provide regular reporting on training completion rates, compliance gaps, and user engagement to key stakeholders and senior leadership. Operational and Cross-Functional Leadership Collaborate with Operations, HR, IT, Finance, and Procurement to deliver integrated workplace solutions. Foster a proactive safety culture through internal communications, leadership engagement, and continuous improvement initiatives. Support business continuity planning, emergency preparedness, and crisis response across all locations. Monitor, report, and present on key H&S and property KPIs to leadership teams alongside group. Develop and manage H&S and property-related budgets, monitor service charges, and identify opportunities for cost savings and efficiency. Stay informed of market trends and legal developments relevant to property and facilities management or Health and Safety. Travel to sites across the UK and ROI as required. What You Bring to The Role Hold an appropriate level of membership of the Institute of Occupational Safety and Health, (e.g. IOSH Certified). Experience in driving and prioritising the H&S Agenda across business, with excellent H&S legislation knowledge Multi-site remit with UK wide travel (approx. 60% of the role involves travel) A background within FMCG desirable (Logistics/Retail Environments relevant too) Ability to set, plan and see through corrective and preventative actions, using root cause analysis Ability to manage cross functional 'Problem Solving' teams A good understanding of food safety & quality systems - including AIB/BRC, HACCP, etc Lead incident investigations and understand both hold and release processes & food safety risks. Excellent written and interpersonal skills and the ability to challenge constructively. Project management experience is desirable. Relevant professional qualification (e.g., IWFM, RICS, NEBOSH or IOSH) is advantageous but not essential. What's in it for you? 25 days of annual leave plus bank holidays Life assurance equivalent to 2x your yearly salary Five weeks of occupational paid sick leave for added security Extended leave policy for greater flexibility Free parking at our Head Office and other depot locations Unlimited coffee and tea at our offices to keep you refreshed Clear career progression paths with development opportunities Strong leadership support to help you thrive Employee recognition scheme to celebrate your contributions Mental health and wellbeing support, including access to mental health first aiders
Mar 14, 2026
Full time
We are seeking a highly experienced Health & Safety Managerto drive safety strategy, compliance, and continuous improvement across all operational sites and field-based teams. This is a senior role with responsibility for the health, safety, and food hygiene of approximately 715 engineering, merchandising and logistics staff, across 13 depots and 2 office sites in the UK and Republic of Ireland. The successful candidate will champion a proactive safety culture, ensure compliance with all legal and operational H&S requirements, and provide leadership in training, auditing, and risk management. The role leads the development, implementation, and continuous improvement of facilities and health and safety strategies to ensure legal compliance and the promotion of a safe, efficient, and well-managed working environment for all employees across all levels of the organisation. The successful candidate will drive safety initiatives, manage regulatory requirements, deliver training programs, and foster a proactive safety culture while maintaining a workplace that supports business effectiveness and employee wellbeing. As a 24/7 food & drinks distribution and technology led powerhouse, Selecta provides millions of moments of joy to its end consumers throughout Europe. Our solutions include digital Vending Machines, Coffee Machines, Smart Fridges, Snack Markets and more. As such, we are uniquely positioned to address the needs of our clients and their consumers in the new hybrid work environment. Your Key Duties & Responsibilities: Monitor and enforce Health & Safety standards across all installation activities, including HGV operations, machine installations, relocations, and removals. Conduct risk assessments for installation and other customer movements as required, including but not limited to equipment handling, lifting operations, and vehicle-based work. Managing site access permits via customer portals, as required. Carry out regular site inspections and audits, ensuring compliance with company H&S policies and statutory requirements. Investigate accidents, incidents, and near-misses in field operations; implement corrective and preventive actions. Support and deliver toolbox talks, on-site training, and awareness campaigns for field staff. Maintain accurate H&S records, including risk assessments, incident reports, and training documentation. Provide guidance and advice to installation teams and supervisors on safe work practices, lifting equipment, manual handling, and vehicle operations. Promote a proactive safety culture among all field-based teams. Health & Safety Leadership: Own the company's Health & Safety strategy and compliance framework. Control of H&S, including Food Safety & Hygiene, across 11 depot sites and 2 Office sites (including any new site launches, closures and future relocation's.) Responsibility for the Health and Safety of Engineering, Merchandising and logistics field-based staff (circa 715 employees) To monitor, review and maintain Health and Safety policies and practices, making recommendations and implementing new policies and procedures as required. Deliver and support training programs, toolbox talks, and health & safety campaigns across all levels of the business. Assist in identifying training needs and develop, coordinate, and deliver targeted health and safety training to ensure employee awareness and compliance. Create, lead, and coordinate a Health & Safety Committee, ensuring representation from key functions and site locations, appointing and supporting local Health & Safety Champions at each depot to drive site-level engagement, compliance, and continuous improvement. Implementing and maintaining health and safety systems and procedures to meet specific requirements such as: checks, audits, investigations, risk assessments and accident reporting. This includes the Control of Substances Hazardous to Health (COSHH). To investigate, or where appropriate assisting others in investigating, the circumstances and causes of accidents and take necessary steps to prevent a recurrence. Monitor the services provided to external clients (CDM) and ensure that the team responds proactively to programme constraints. Oversee the preparation, maintenance and distribution of CDM Health and Safety files. Ensure HACCP is effective, building a 'culture' which drives Food Safety throughout all depot sites, ensuring that hygiene standards are being met. Management of food safety non compliances through hold and concession processes, including decision making with regards to Holds in accordance with PIUK standards A key communicator on Food Safety and Sanitation initiatives within the UK Own and manage the organisational Health & Safety E-learning platform, ensuring content is up to date, relevant, and aligned with legal and operational requirements. Provide regular reporting on training completion rates, compliance gaps, and user engagement to key stakeholders and senior leadership. Operational and Cross-Functional Leadership Collaborate with Operations, HR, IT, Finance, and Procurement to deliver integrated workplace solutions. Foster a proactive safety culture through internal communications, leadership engagement, and continuous improvement initiatives. Support business continuity planning, emergency preparedness, and crisis response across all locations. Monitor, report, and present on key H&S and property KPIs to leadership teams alongside group. Develop and manage H&S and property-related budgets, monitor service charges, and identify opportunities for cost savings and efficiency. Stay informed of market trends and legal developments relevant to property and facilities management or Health and Safety. Travel to sites across the UK and ROI as required. What You Bring to The Role Hold an appropriate level of membership of the Institute of Occupational Safety and Health, (e.g. IOSH Certified). Experience in driving and prioritising the H&S Agenda across business, with excellent H&S legislation knowledge Multi-site remit with UK wide travel (approx. 60% of the role involves travel) A background within FMCG desirable (Logistics/Retail Environments relevant too) Ability to set, plan and see through corrective and preventative actions, using root cause analysis Ability to manage cross functional 'Problem Solving' teams A good understanding of food safety & quality systems - including AIB/BRC, HACCP, etc Lead incident investigations and understand both hold and release processes & food safety risks. Excellent written and interpersonal skills and the ability to challenge constructively. Project management experience is desirable. Relevant professional qualification (e.g., IWFM, RICS, NEBOSH or IOSH) is advantageous but not essential. What's in it for you? 25 days of annual leave plus bank holidays Life assurance equivalent to 2x your yearly salary Five weeks of occupational paid sick leave for added security Extended leave policy for greater flexibility Free parking at our Head Office and other depot locations Unlimited coffee and tea at our offices to keep you refreshed Clear career progression paths with development opportunities Strong leadership support to help you thrive Employee recognition scheme to celebrate your contributions Mental health and wellbeing support, including access to mental health first aiders
Group Leaders - Human Genetics and Disease Prediction Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life changing science to solve some of humanity's greatest challenges. Join the Frontier of Human Genomics and Disease Prediction Become a Group Leader at the Wellcome Sanger Institute At the Wellcome Sanger Institute, we're rethinking how human data can be used to understand, predict and ultimately change the course of disease. We're hiring Group Leaders to join our Human Genetics Programme where large scale cohorts, longitudinal multi omics and patient data come together to power predictive models of health and disease. About the Programme Our mission is bold: to generate the datasets, build the predictive models and develop the causal understanding needed to predict, prevent and treat human disease. We design and generate large scale, longitudinal multi omic resources, tightly linked to detailed patient data, and use these to understand how genetic and environmental variation shape molecular states, trajectories and outcomes. We will use AI, machine learning, and robust causal inference methods to turn that understanding into better risk prediction, diagnosis and treatment, deriving openly accessible predictive models that are generalisable and transferable between populations and clinical contexts. The programme offers sustained core funding, large scale technology and informatics platforms and a genuinely collaborative, supportive working environment in the Cambridge-London science hub. If you're excited by our ambitious mission and want to make a bold, personal contribution to it in an environment that values diverse perspectives and inclusive collaboration, we want to hear from you. Who We're Looking For: We welcome applications from researchers with backgrounds in clinical medicine, human genetics, genomics and multi omics, epidemiology, statistics, computer science, clinical informatics and AI/ML. We are keen to hear from both clinician scientists and non clinical/basic scientists. We do not expect any individual to span all of the areas below; we are looking for depth and originality in one or more of them, together with a strong commitment to collaboration. You might, for example, have expertise in: Human genetics and multi omics for complex traits and diseases. Epidemiology and longitudinal cohort design and analysis. Electronic health records and real world data science, including phenotyping and data linkage. Causal inference and statistical methods for target and biomarker prioritisation. Development and application of AI/ML and predictive modelling methods using multi omic and clinical data. Methods and resources for diverse and under represented populations, improving equity and generalisability of prediction Statistical and computational methods, data platforms and standards that make large scale multi omic and clinical data, and the resulting models, robust and widely usable. The Wellcome Sanger Institute is located in the centre of the largest scientific and startup cluster in Europe and combines the scientific innovation of Cambridge with the business and cultural ambition of London. We care about the long term translation and impact of our research. We welcome applicants from all career stages, including those from clinical, industry, or non traditional career paths. We particularly encourage applications from women and individuals from under represented backgrounds. We believe our science is enriched by a diversity of perspectives and experiences. The Role: Faculty with vision, long term funding and scientific freedom. We are recruiting Group Leaders across all our Faculty levels. Our Group Leader positions offer access to substantial core funding, including a competitive salary and continuous internal funding that enables the pursuit of ambitious, large scale research. Faculty at the Institute are supported by outstanding scientific, technical, and operational teams, allowing them to focus on impactful research and leadership. You will have the opportunity to mentor and develop a team within a supportive and collegial environment where collaboration, well being, and inclusion are prioritised. The institute appoints faculty at three levels: Group Leader 1 (GL1): Your first or second group leader role (equivalent to Assistant Professor US / Lecturer UK). Eight year post, core funded beyond a typical ERC or R01 grant with additional access to funds for large strategic projects. Launch your vision with the freedom to innovate at scale. Group Leader 2 (GL2): Mid career (Associate Professor). Lead a growing core funded team, shape programme strategy, and drive large scale discovery. Six year post with review in year six. Group Leader 3 (GL3): Senior leadership role (Full Professor) helping to shape Sanger's long term research strategy. Ongoing tenure with six year rolling reviews. Global research leaders are encouraged to apply. Why Join Us? Substantial, Sustained Core Funding: Focus on the science that matters - not grant cycles. Launch long term, high impact research. Scale + Technology: Unmatched access to high throughput science platforms, Scientific Operations, and Informatics infrastructure. A Truly Collaborative Culture: Work side by side with leading genomics experts in an environment built for cooperation, discovery and translational impact. A Supportive, Inclusive, and Flexible Workplace: Relocation and visa support, mentorship, flexible working, family friendly policies, and a campus dedicated to well being and scientific excellence. A Global Science Hub: Benefit from the dynamic, high impact innovation landscape of Cambridge and London. Our faculty and employees benefit from flexible working options, family friendly policies, generous benefits, and comprehensive relocation support. Your application should include: A CV and a full publication list Your scientific and leadership achievements to date Your contribution to the wider research community and society, you may wish to include diversity and inclusion initiatives and public engagement events A three page outline of your future research plans indicating how these fit with the Human Genetics Programme, and the wider Institute. This should include how access to genomics at scale would transform your science. Please include a short abstract at the start of this document (no more than 250 words) summarising your plans. Please upload all documentation with your application Your application will be reviewed and considered across GL1, GL2 and GL3 faculty levels focusing on your scientific achievement, experience, and personal suitability in line with our core behavioural competencies; collaboration, communication, leadership, integrity, results driven, and innovation. Interview Process: Scientific Talks (past and future research) Panel Interview based on leadership, collaboration, and core behavioural competencies and values Stakeholder 1:1s with Group Leaders and Programme leads We understand balancing career opportunities with personal commitments can be challenging, and our process is designed to be flexible and supportive. Ready to Change How We Predict and Prevent Human Disease? Join us at the Wellcome Sanger Institute and help build the next generation of human genetic and longitudinal multi omic resources and predictive models, in an environment where your science, your judgement and your career are supported and valued. We recognise that there are many benefits to Hybrid Working; including an improved work life balance, with more focused time, and the ability to organise working time so that collaborative opportunities and team discussions are facilitated on campus. The hybrid working arrangement will vary for different roles and teams. The nature of your role and the type of work you do will determine if a hybrid working arrangement is possible. Equality, Diversity and Inclusion: We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with staff networks for LGBTQ+, Parents and Carers, Disability and Race Equity providing support and development opportunities. These networks also give allies a space for support. We want our people to be whoever they want to be because we believe people who bring their best selves to work, do their best work. That's why we're committed to creating a truly inclusive culture at Sanger Institute. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive. We are proud to deliver an awarding campus wide employee wellbeing strategy and programme. The importance of good health and adopting a healthier lifestyle and the commitment to reduce work related stress is strongly acknowledged and recognised at Sanger Institute. Sanger Institute became a signatory of the International Technician Commitment initiative in March 2018. The Technician Commitment aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines. . click apply for full job details
Mar 14, 2026
Full time
Group Leaders - Human Genetics and Disease Prediction Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life changing science to solve some of humanity's greatest challenges. Join the Frontier of Human Genomics and Disease Prediction Become a Group Leader at the Wellcome Sanger Institute At the Wellcome Sanger Institute, we're rethinking how human data can be used to understand, predict and ultimately change the course of disease. We're hiring Group Leaders to join our Human Genetics Programme where large scale cohorts, longitudinal multi omics and patient data come together to power predictive models of health and disease. About the Programme Our mission is bold: to generate the datasets, build the predictive models and develop the causal understanding needed to predict, prevent and treat human disease. We design and generate large scale, longitudinal multi omic resources, tightly linked to detailed patient data, and use these to understand how genetic and environmental variation shape molecular states, trajectories and outcomes. We will use AI, machine learning, and robust causal inference methods to turn that understanding into better risk prediction, diagnosis and treatment, deriving openly accessible predictive models that are generalisable and transferable between populations and clinical contexts. The programme offers sustained core funding, large scale technology and informatics platforms and a genuinely collaborative, supportive working environment in the Cambridge-London science hub. If you're excited by our ambitious mission and want to make a bold, personal contribution to it in an environment that values diverse perspectives and inclusive collaboration, we want to hear from you. Who We're Looking For: We welcome applications from researchers with backgrounds in clinical medicine, human genetics, genomics and multi omics, epidemiology, statistics, computer science, clinical informatics and AI/ML. We are keen to hear from both clinician scientists and non clinical/basic scientists. We do not expect any individual to span all of the areas below; we are looking for depth and originality in one or more of them, together with a strong commitment to collaboration. You might, for example, have expertise in: Human genetics and multi omics for complex traits and diseases. Epidemiology and longitudinal cohort design and analysis. Electronic health records and real world data science, including phenotyping and data linkage. Causal inference and statistical methods for target and biomarker prioritisation. Development and application of AI/ML and predictive modelling methods using multi omic and clinical data. Methods and resources for diverse and under represented populations, improving equity and generalisability of prediction Statistical and computational methods, data platforms and standards that make large scale multi omic and clinical data, and the resulting models, robust and widely usable. The Wellcome Sanger Institute is located in the centre of the largest scientific and startup cluster in Europe and combines the scientific innovation of Cambridge with the business and cultural ambition of London. We care about the long term translation and impact of our research. We welcome applicants from all career stages, including those from clinical, industry, or non traditional career paths. We particularly encourage applications from women and individuals from under represented backgrounds. We believe our science is enriched by a diversity of perspectives and experiences. The Role: Faculty with vision, long term funding and scientific freedom. We are recruiting Group Leaders across all our Faculty levels. Our Group Leader positions offer access to substantial core funding, including a competitive salary and continuous internal funding that enables the pursuit of ambitious, large scale research. Faculty at the Institute are supported by outstanding scientific, technical, and operational teams, allowing them to focus on impactful research and leadership. You will have the opportunity to mentor and develop a team within a supportive and collegial environment where collaboration, well being, and inclusion are prioritised. The institute appoints faculty at three levels: Group Leader 1 (GL1): Your first or second group leader role (equivalent to Assistant Professor US / Lecturer UK). Eight year post, core funded beyond a typical ERC or R01 grant with additional access to funds for large strategic projects. Launch your vision with the freedom to innovate at scale. Group Leader 2 (GL2): Mid career (Associate Professor). Lead a growing core funded team, shape programme strategy, and drive large scale discovery. Six year post with review in year six. Group Leader 3 (GL3): Senior leadership role (Full Professor) helping to shape Sanger's long term research strategy. Ongoing tenure with six year rolling reviews. Global research leaders are encouraged to apply. Why Join Us? Substantial, Sustained Core Funding: Focus on the science that matters - not grant cycles. Launch long term, high impact research. Scale + Technology: Unmatched access to high throughput science platforms, Scientific Operations, and Informatics infrastructure. A Truly Collaborative Culture: Work side by side with leading genomics experts in an environment built for cooperation, discovery and translational impact. A Supportive, Inclusive, and Flexible Workplace: Relocation and visa support, mentorship, flexible working, family friendly policies, and a campus dedicated to well being and scientific excellence. A Global Science Hub: Benefit from the dynamic, high impact innovation landscape of Cambridge and London. Our faculty and employees benefit from flexible working options, family friendly policies, generous benefits, and comprehensive relocation support. Your application should include: A CV and a full publication list Your scientific and leadership achievements to date Your contribution to the wider research community and society, you may wish to include diversity and inclusion initiatives and public engagement events A three page outline of your future research plans indicating how these fit with the Human Genetics Programme, and the wider Institute. This should include how access to genomics at scale would transform your science. Please include a short abstract at the start of this document (no more than 250 words) summarising your plans. Please upload all documentation with your application Your application will be reviewed and considered across GL1, GL2 and GL3 faculty levels focusing on your scientific achievement, experience, and personal suitability in line with our core behavioural competencies; collaboration, communication, leadership, integrity, results driven, and innovation. Interview Process: Scientific Talks (past and future research) Panel Interview based on leadership, collaboration, and core behavioural competencies and values Stakeholder 1:1s with Group Leaders and Programme leads We understand balancing career opportunities with personal commitments can be challenging, and our process is designed to be flexible and supportive. Ready to Change How We Predict and Prevent Human Disease? Join us at the Wellcome Sanger Institute and help build the next generation of human genetic and longitudinal multi omic resources and predictive models, in an environment where your science, your judgement and your career are supported and valued. We recognise that there are many benefits to Hybrid Working; including an improved work life balance, with more focused time, and the ability to organise working time so that collaborative opportunities and team discussions are facilitated on campus. The hybrid working arrangement will vary for different roles and teams. The nature of your role and the type of work you do will determine if a hybrid working arrangement is possible. Equality, Diversity and Inclusion: We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with staff networks for LGBTQ+, Parents and Carers, Disability and Race Equity providing support and development opportunities. These networks also give allies a space for support. We want our people to be whoever they want to be because we believe people who bring their best selves to work, do their best work. That's why we're committed to creating a truly inclusive culture at Sanger Institute. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive. We are proud to deliver an awarding campus wide employee wellbeing strategy and programme. The importance of good health and adopting a healthier lifestyle and the commitment to reduce work related stress is strongly acknowledged and recognised at Sanger Institute. Sanger Institute became a signatory of the International Technician Commitment initiative in March 2018. The Technician Commitment aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines. . click apply for full job details
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Mar 14, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
We're looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. What you'll get Work at the intersection of AI and life sciences with high impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML. Senior (5+ years of experience) Company: BioTalent
Mar 13, 2026
Full time
We're looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. What you'll get Work at the intersection of AI and life sciences with high impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML. Senior (5+ years of experience) Company: BioTalent
A leading biotechnology firm is seeking a Research Scientist (Machine Learning) to work on innovative AI applications in drug discovery. The role involves designing novel ML models, collaborating with interdisciplinary teams, and applying deep learning to scientific problems. Ideal candidates will have a PhD in a relevant field and expertise in deep learning technologies. This position offers a hybrid working environment, emphasizing growth and collaboration in a mission-driven culture.
Mar 13, 2026
Full time
A leading biotechnology firm is seeking a Research Scientist (Machine Learning) to work on innovative AI applications in drug discovery. The role involves designing novel ML models, collaborating with interdisciplinary teams, and applying deep learning to scientific problems. Ideal candidates will have a PhD in a relevant field and expertise in deep learning technologies. This position offers a hybrid working environment, emphasizing growth and collaboration in a mission-driven culture.
At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision - Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech - Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment. Write high-quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start-up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Mar 13, 2026
Full time
At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision - Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech - Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment. Write high-quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start-up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
A leading wealth management business in the UK is seeking an AI Engineer to develop and deploy machine learning models, including traditional and Generative AI solutions. Candidates must possess an advanced degree and a strong foundation in machine learning, along with experience in AI/ML research. The role involves cross-functional collaboration and staying abreast of emerging tools and techniques in AI. This position offers a permanent contract and the potential to work in a rapidly evolving environment with ample opportunities for professional growth.
Mar 13, 2026
Full time
A leading wealth management business in the UK is seeking an AI Engineer to develop and deploy machine learning models, including traditional and Generative AI solutions. Candidates must possess an advanced degree and a strong foundation in machine learning, along with experience in AI/ML research. The role involves cross-functional collaboration and staying abreast of emerging tools and techniques in AI. This position offers a permanent contract and the potential to work in a rapidly evolving environment with ample opportunities for professional growth.
A leading drug invention company is seeking a Staff AI Research Scientist to develop cutting-edge AI algorithms for drug discovery. In this senior role, you will mentor and support a team of researchers while working closely with interdisciplinary experts. You'll design advanced machine learning techniques to predict molecular properties and contribute to translating AI research into real-world applications. The position offers flexibility with up to two remote workdays per week and the chance to make a significant impact on drug discovery.
Mar 12, 2026
Full time
A leading drug invention company is seeking a Staff AI Research Scientist to develop cutting-edge AI algorithms for drug discovery. In this senior role, you will mentor and support a team of researchers while working closely with interdisciplinary experts. You'll design advanced machine learning techniques to predict molecular properties and contribute to translating AI research into real-world applications. The position offers flexibility with up to two remote workdays per week and the chance to make a significant impact on drug discovery.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialise learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenp> Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. Interested in building your career at Intercom? Get future opportunities sent straight to your email.
Mar 12, 2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialise learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenp> Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. Interested in building your career at Intercom? Get future opportunities sent straight to your email.
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never before seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit and LinkedIn. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from Aqemia's proprietary binding free energy methods. Role Overview As a Senior Application Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of Aqemia's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at Aqemia. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modeling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to Aqemia's proprietary binding free energy methods. Qualifications & Experience MSc or PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within a drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Strong programming/scripting ability and experience with workflow automation. Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modeling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast growing company and team. Expanding Drug Discovery Pipeline Focused on critical therapeutic areas like Oncology, CNS, Immuno inflammation with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team Work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility Our offices are located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing $100M raised from leading European and International investors.
Mar 12, 2026
Full time
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never before seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit and LinkedIn. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from Aqemia's proprietary binding free energy methods. Role Overview As a Senior Application Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of Aqemia's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at Aqemia. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modeling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to Aqemia's proprietary binding free energy methods. Qualifications & Experience MSc or PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within a drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Strong programming/scripting ability and experience with workflow automation. Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modeling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast growing company and team. Expanding Drug Discovery Pipeline Focused on critical therapeutic areas like Oncology, CNS, Immuno inflammation with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team Work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility Our offices are located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing $100M raised from leading European and International investors.
Our client is seeking a motivated and strongly technical specialist to join their Catastrophe Research team. Their team is a small, specialised group of applied researchers with advanced expertise and domain knowledge in atmospheric sciences, hydrology and seismology. Joining their team means working at the forefront of catastrophe science, shaping how research is applied in the insurance industry. Location: London Type: Permanent Key Responsibilities (including but not limited to): Performing and documenting model evaluation deep dives for areas of high peril materiality and abridged model evaluations for lower materiality regions Keeping abreast of the latest scientific research and emerging technologies to inform novel approaches to developing business view of risk Assisting the provision of relevant model evaluation materials for company reporting Presenting results regularly to a wide range of audiences including clients, brokers, senior management and investors Representing company at national and international scientific and industry forums A strong academic record, to degree level (2:1 or Higher or equivalent) and a higher degree (PhD) including a period of specific research with a focus in a risk sciences area such as meteorology, climatology, seismology, or hydrology Strong proficiency in programming languages for data analysis (e.g. Python, R, SQL) with a strong preference for candidates who have hands-on experience applying machine learning or Al techniques to real-world problems The ability to and interest in working collaboratively across different teams Comfort in presenting both internally to senior management and investors and externally to clients or at industry or academic conferences It would also be beneficial if you have a strong interest or knowledge of the key principles of commercial catastrophe models, climate models and the data and formats used in climate modelling
Mar 12, 2026
Full time
Our client is seeking a motivated and strongly technical specialist to join their Catastrophe Research team. Their team is a small, specialised group of applied researchers with advanced expertise and domain knowledge in atmospheric sciences, hydrology and seismology. Joining their team means working at the forefront of catastrophe science, shaping how research is applied in the insurance industry. Location: London Type: Permanent Key Responsibilities (including but not limited to): Performing and documenting model evaluation deep dives for areas of high peril materiality and abridged model evaluations for lower materiality regions Keeping abreast of the latest scientific research and emerging technologies to inform novel approaches to developing business view of risk Assisting the provision of relevant model evaluation materials for company reporting Presenting results regularly to a wide range of audiences including clients, brokers, senior management and investors Representing company at national and international scientific and industry forums A strong academic record, to degree level (2:1 or Higher or equivalent) and a higher degree (PhD) including a period of specific research with a focus in a risk sciences area such as meteorology, climatology, seismology, or hydrology Strong proficiency in programming languages for data analysis (e.g. Python, R, SQL) with a strong preference for candidates who have hands-on experience applying machine learning or Al techniques to real-world problems The ability to and interest in working collaboratively across different teams Comfort in presenting both internally to senior management and investors and externally to clients or at industry or academic conferences It would also be beneficial if you have a strong interest or knowledge of the key principles of commercial catastrophe models, climate models and the data and formats used in climate modelling
