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Be part of something altogether life-changing! Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40+ countries, Cytiva is a place where every day is a learning opportunity - so you can grow your career and expand your skills in the long term. Forming part of the Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to develop the next generation of life-changing therapeutics. The Applications Scientist II for Cytiva is responsible for performing applications studies for bioreactors and mixers. This position is part of the Upstream and Fluid Management R&D Applications Team located in Portsmouth, UK, and will be on-site. At Cytiva, our vision is, to advance future therapeutics from discovery to delivery. What you will do: Work under limited supervision. Contribute to experimental design. Serve as a technical resource. Come up with new ideas and employ them to solve technical challenges. Contribute to innovation sessions and turn ideas into lab-based action. Perform applications studies related to bioreactors and mixers. Develop and perform standard protein analytics. Analyze and report results accurately according to GDP. Produce high-quality technical reports for internal use and present your data to internal audiences. Produce study plans and batch work instructions. Who you are: BS in a technical field related to biotechnology 1-2 years of experience in a bioprocess working environment Proficiency in mammalian cell culture and running of stirred tank bioreactors Experience in protein analytics Proficiency in use of MS Office package and in data analytics Travel, Motor Vehicle Record & Physical/Environment Requirements: Not applicable It would be a plus if you also possess previous experience in: MS degree preferred. Experience in an R&D group that has launched products. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Senior Research Scientist (Foundational Research, Machine Learning) Apply remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago job requisition id JREQ184676 Are you a curious and open-minded individual with an interest in state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking a Senior Research Scientist with a passion for solving challenging machine learning problems in a data-rich, complex academic environment. About the Role In this opportunity, as Senior Research Scientist you will: Innovate: You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available. Experiment and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, building, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. About You You're a fit for the role if your background includes: Required Qualifications: PhD student or recent graduate with research experience in a technical discipline. First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar. Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability to work with limited supervision. Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred Qualifications: Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc. Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Previous experience working on large-scale machine learning systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance. Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company. Social Impact: Employee-driven Business Resource Groups; two paid volunteer days annually; ESG initiatives for local and global impact. Purpose Driven Work: We help our customers pursue justice, truth and transparency. Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward. Accessibility Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

Compliance Data Scientist 116710 Working hours: This role is available on a part-time, job-share or full-time basis. Salary: Circa £50,000 depending on experience plus an excellent benefits package. Location: London, Fareham, or Swindon (Hybrid working). The opportunity: Data and its use to drive the right decisions are at the core of how we work at Zurich. We are looking for a talented individual to join our data science team working exclusively on compliance and governance topics. In this role, you will collaborate closely with data experts and compliance colleagues to ensure we support the business in making data-led decisions, in order to meet Zurich's commitment to our customers and to regulators. This is extremely vital work, with an impact across the business. Compliance covers a company's adherence to rules and regulations, ensuring we are always working in the best interests of our customers. Our Compliance Data Strategy aims to encourage data-led decisions to mitigate regulatory risk, improve regulatory and customer outcomes, and present these insights effectively to stakeholders. Our goal is to bring more value from a business perspective through data insights, as well as a significant uplift in data analytics in our assurance and control testing, which now needs a dedicated individual to drive this work. You will be passionate about using data and advanced analytical tools to ensure Zurich does right by its customers, challenging the status quo when needed. We are looking for someone who combines this passion with proficiency in using data and AI/ML to solve problems in a commercial environment. The ideal candidate will be creative, curious, and approach problem-solving logically and with an open mind. This is an excellent opportunity to work in a dynamic and supportive data science team while working on topics which span the whole breadth of insurance. The FCA have set out their own business plan and data strategy to better use data on a range of topics and there is a great opportunity to get ahead of these emerging requirements in our interactions with the FCA. As such, we are looking for someone who understands the importance of being part of a supportive team culture, while also comfortable pushing their work forward independently. If you think this sounds like you, then we look forward to your application. Many of our employees work flexibly in a variety of different ways, including part-time, flexible hours, job share, an element of working from home or compressed hours. This is because we want the best people for our roles, and we recognise that sometimes those people aren't available full-time. Please talk to us at the interview about the flexibility you may need. What will you be doing? Drive data-led decision-making across the business, working with stakeholders to help them understand how data can assist them in meeting compliance requirements. Assist colleagues in setting strategy for compliance activities using data, informing on the art-of-the-possible and best-practice. Pro-actively seek out opportunities to improve Zurich's view of compliance adherence and our ability to meet regulatory requirements using data and AI/ML. Analyse data from a variety of sources to provide a picture of our adherence to regulations, and to determine how we best comply with new and upcoming regulations. Work with colleagues to determine the required sources and how they are best used. Use AI/ML and data science techniques to reduce the need for manual work in the compliance space, including analysis of structured numerical data and application of LLMs and similar tools to unstructured data. Promote an automation-first mindset where possible. Use data to tell compelling narratives and communicate compliance topics in simple language to deliver tangible impact. Ensure high standards of code development are met, including adherence to code management best practices and team policies such as submission and review of pull requests. Be a vocal proponent of both good data practices and compliance regulations, and able to communicate these ideas to non-experts, acting as a bridge between the two disciplines. Stay on top of existing and upcoming regulations relevant to Zurich in the UK. What are we looking for? Strong analytical, structured, and interdisciplinary way of thinking and working, including the ability to think creatively with data and being comfortable with complex and ambiguous problem-solving. Happy to work on problems which have never been attempted before. Proficient in python and modern software development practices within a team of developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large data-sets using distributed computing (e.g. spark). Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including supervised and unsupervised learning techniques. Excellent collaboration and organisation skills. Proficient communicator, who is comfortable explaining the value of their work to drive adoption and challenge the status quo. Comfortable working in a business environment where stakeholders will not have all the answers; yet understanding the need to be practical and to deliver for the business. Ability to think proactively and 'join the dots' across a complex landscape to see the bigger picture. An understanding of the importance of team culture, and a demonstrable ability to act as a role model to maintain a culture of curiosity, support and honesty. Nice to have: Knowledge of R or other programming languages. Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker. Experience with Snowflake. Experience with Databricks. As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their best during the interview. You'll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply. What happens next? As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You'll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply. Who we are: At Zurich we aspire to be one of the most responsible and impactful businesses in the world and the best global insurer. Together we're creating a brighter future for our customers, our people and our planet. With over 55,000 employees in more than 170 countries, you'll feel the support of being part of a strong and stable company who are a long-standing player in the insurance industry. We've made a promise to each other and every employee; to focus on sustainable impact, to care about each other's wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future. If you're interested in working in a dynamic and challenging environment for a company that recognises and rewards your creativity, initiatives and contributions - then Zurich could be just the place for you. Be part of something great. Our Culture: At Zurich, our sense of community is strong and we're particularly passionate about diversity and inclusion, which we've won numerous awards for. We want our people to bring the whole of themselves to work and ensure everybody is made to feel welcome, regardless of their background, beliefs or culture. We want our employees to reflect the diversity of our customers, and so are committed to treating all of our applicants fairly and with respect, irrespective of their actual or assumed background, disability or any other protected characteristic. We've an environment that places a real importance on our people's wellbeing from a physical, mental, social and financial perspective. We work with our wellbeing partners and industry experts to provide the best advice and access to a wealth of lifestyle support. We're also committed to continuous improvement, and we offer access to a comprehensive range of training and development opportunities. We're passionate about supporting employees to help others by getting involved in volunteering, charitable and community activity. Our charitable arm, Zurich Community Trust, is one of the longest-established corporate trusts in the UK. In that time, we've awarded grants and volunteered time to deserving causes in the UK valued at over £90 million. So make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us. The financials: 12% defined non-contributory pension scheme. Annual company bonus. Income Protection. Life cover - four times your salary. Time away: 25 days holiday a year plus bank holidays. You can also request to swap UK bank holidays for days off that have cultural or religious significance to you. The option to buy up to an additional 20 days or sell some of your holiday. Three days paid volunteering. Up to 16 weeks' full pay for maternity, paternity and adoption leave. Your health is important to us: Access to Private medical insurance. . click apply for full job details

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance every day. StackAdapt was founded with a vision to be more than an advertising platform, it's a hub of innovation, imagination, and creativity. We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position. What you'll be doing: Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods. Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms. Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights. What you'll bring to the table: Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps. Have a comprehensive understanding of statistics, optimization, and machine learning. Are proficient in coding, data structures, and algorithms. Enjoy working in a friendly, collaborative environment with others. StackAdapters enjoy: Competitive salary. Private Medical Insurance cover. Auto-enrolment into the company pension scheme. Work from home reimbursements. Coverage and support of personal development initiatives (conferences, courses, etc). An awesome parental leave policy. A friendly, welcoming, and supportive culture. Our social and team events (virtually!). Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year. If this role speaks to you then please submit an application - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted. StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work DSP on G2 and leader in a number of categories including Cross-Channel Advertising

Machine Learning Infrastructure Engineering Lead - UK London The Next Dimension in Structured Reasoning Symbolica is building the new foundation for enterprise-scale AI - controllable, interpretable, reliable, and secure. We are expanding our team and seeking an experienced machine learning scientist to lead efforts on the development of our cutting-edge formal language models. This is an opportunity to be part of a transformative project and make significant contributions to the field of AI. Symbolica was founded in 2022 and recently raised over $30M from Khosla, General Catalyst, Buckley Ventures, Abstract Ventures, Day One Ventures, and other prominent Silicon Valley venture capital firms, to advance machine reasoning. We're a well-resourced, nimble team with a drive to deliver exceptional AI capabilities in short order. We are looking for a Machine Learning Infrastructure Engineering Lead to design, build, and optimize the infrastructure and tools that enable our research and development efforts. In this role, you will lead the development of scalable infrastructure that powers our machine learning experiments, model training, and deployment. You'll work at the intersection of research and engineering, ensuring our R&D team has the robust platform they need to push the boundaries of AI, working with our GPU vendors, cloud providers, and on-prem servers. Responsibilities Lead the implementation and management of infrastructure for large-scale machine learning workflows, including training systems and model deployment. Develop tools and frameworks to support the global team's experiments and ensure reproducibility and scalability. Optimize compute resources and ensure efficient use of cloud and on-premises hardware for training and inference. Build and maintain CI/CD pipelines tailored for machine learning development. Collaborate closely with machine learning scientists, researchers, and engineers to identify and address infrastructure needs. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software engineering or infrastructure roles, with at least 2 years in machine learning infrastructure. Proficiency in cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes). Experience building CI/CD pipelines for machine learning workflows. Exceptional problem-solving skills, with the ability to design and implement robust, scalable systems. Details This role is based in our Shoreditch office in London . We offer competitive compensation, including equity. Salary and equity levels are commensurate with experience. At Symbolica.ai, our mission is to revolutionize the AI landscape by creating groundbreaking machine learning solutions that are radically transparent, highly efficient, and meticulously compliant. We strive to push the boundaries of innovation, delivering AI technology that not only outperforms current standards but also meets the rigorous demands of industries requiring utmost reliability and security. We are building deep learning models which manipulate structured data, learn algebraic structure in it, and do so with an interpretable and verifiable logic. We are now hiring exceptional talent who are helping us make this a reality. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV

Compliance Data Scientist Working hours: This role is available on a part-time, job-share or full-time basis. Salary: Circa £50,000 depending on experience plus an excellent benefits package Location: London, Fareham, or Swindon (Hybrid working) The opportunity: Data and its use to drive the right decisions are at the core of how we work at Zurich. We are looking for a talented individual to join our data science team working exclusively on compliance and governance topics. In this role, you will collaborate closely with data experts and compliance colleagues to ensure we support the business in making data-led decisions, in order to meet Zurich's commitment to our customers and to regulators. This is extremely vital work, with an impact across the business. Compliance covers a company's adherence to rules and regulations, ensuring we are always working in the best interests of our customers. Our Compliance Data Strategy aims to encourage data-led decisions to mitigate regulatory risk, improve regulatory and customer outcomes, and present these insights effectively to stakeholders. Our goal is to bring more value from a business perspective through data insights, as well as a significant uplift in data analytics in our assurance and control testing, which now needs a dedicated individual to drive this work. You will be passionate about using data and advanced analytical tools to ensure Zurich does right by its customers, challenging the status quo when needed. We are looking for someone who combines this passion with proficiency in using data and AI/ML to solve problems in a commercial environment. The ideal candidate will be creative, curious, and approach problem-solving logically and with an open mind. This is an excellent opportunity to work in a dynamic and supportive data science team while working on topics which span the whole breadth of insurance. The FCA have set out their own business plan and data strategy to better use data on a range of topics and there is a great opportunity to get ahead of these emerging requirements in our interactions with the FCA. As such, we are looking for someone who understands the importance of being part of a supportive team culture, while also comfortable pushing their work forward independently. If you think this sounds like you, then we look forward to your application. What will you be doing? As Compliance Data Scientist, your main responsibilities will involve: Drive data-led decision-making across the business, working with stakeholders to help them understand how data can assist them in meeting compliance requirements. Assist colleagues in setting strategy for compliance activities using data, informing on the art-of-the-possible and best-practice. Pro-actively seek out opportunities to improve Zurich's view of compliance adherence and our ability to meet regulatory requirements using data and AI/ML. Analyse data from a variety of sources to provide a picture of our adherence to regulations, and to determine how we best comply with new and upcoming regulations. Work with colleagues to determine the required sources and how they are best used. Use AI/ML and data science techniques to reduce the need for manual work in the compliance space, including analysis of structured numerical data and application of LLMs and similar tools to unstructured data. Promote an automation-first mindset where possible. Use data to tell compelling narratives and communicate compliance topics in simple language to deliver tangible impact. Ensure high standards of code development are met, including adherence to code management best practices and team policies such as submission and review of pull requests. Be a vocal proponent of both good data practices and compliance regulations, and able to communicate these ideas to non-experts, acting as a bridge between the two disciplines. Stay on top of existing and upcoming regulations relevant to Zurich in the UK. What are we looking for? Your skills and experience will ideally include: Strong analytical, structured, and interdisciplinary way of thinking and working, including the ability to think creatively with data and being comfortable with complex and ambiguous problem-solving. Proficient in python and modern software development practices within a team of developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large data-sets using distributed computing (e.g. spark). Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including supervised and unsupervised learning techniques. Excellent collaboration and organisation skills. Proficient communicator, who is comfortable explaining the value of their work to drive adoption and challenge the status quo. Comfortable working in a business environment where stakeholders will not have all the answers; yet understanding the need to be practical and to deliver for the business. Ability to think proactively and 'join the dots' across a complex landscape to see the bigger picture. An understanding of the importance of team culture, and a demonstrable ability to act as a role model to maintain a culture of curiosity, support and honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their best during the interview. You'll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply. What happens next? As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You'll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply. Who we are: At Zurich we aspire to be one of the most responsible and impactful businesses in the world and the best global insurer. Together we're creating a brighter future for our customers, our people and our planet. With over 55,000 employees in more than 170 countries, you'll feel the support of being part of a strong and stable company who are a long-standing player in the insurance industry. If you're interested in working in a dynamic and challenging environment for a company that recognises and rewards your creativity, initiatives and contributions - then Zurich could be just the place for you. Be part of something great. Our Culture: At Zurich, our sense of community is strong and we're particularly passionate about diversity and inclusion, which we've won numerous awards for. We want our people to bring the whole of themselves to work and ensure everybody is made to feel welcome, regardless of their background, beliefs or culture. We want our employees to reflect the diversity of our customers, and so are committed to treating all of our applicants fairly and with respect, irrespective of their actual or assumed background, disability or any other protected characteristic. We've an environment that places a real importance on our people's wellbeing from a physical, mental, social and financial perspective. We work with our wellbeing partners and industry experts to provide the best advice and access to a wealth of lifestyle support. We're also committed to continuous improvement, and we offer access to a comprehensive range of training and development opportunities. We're passionate about supporting employees to help others by getting involved in volunteering, charitable and community activity. Our charitable arm, Zurich Community Trust, is one of the longest-established corporate trusts in the UK. In that time, we've awarded grants and volunteered time to deserving causes in the UK valued at over £90 million. So make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us. The financials: 12% defined non-contributory pension scheme. Annual company bonus. Income Protection. Life cover - four times your salary. Time away: 25 days holiday a year plus bank holidays. You can also request to swap UK bank holidays for days off that have cultural or religious significance to you. The option to buy up to an additional 20 days or sell some of your holiday. Three days paid volunteering. Up to 16 weeks' full pay for maternity, paternity and adoption leave. Your health is important to us: Access to Private medical insurance. Virtual GP appointments. Discounted gym membership. Free flu jab. Access to a wealth of support from our wellbeing partners. We're making a difference: Creating a brighter, more sustainable future underpins all that we do here in Zurich. We were the first insurer to sign the 'UN Business Ambition for 1.5 C' pledge. Our charitable arm, Zurich Community Trust, has awarded grants and volunteered time to deserving causes in the UK valued at over £90 million.

We create cultural value and help brands navigate the ever-changing age of earned: an age where consumers actively say no to advertising; an age where everyone is an influencer that can make or break your brand; an age where content can be turned into commercial opportunity. Our talented team builds brands by finding connection points in the real world. We energise the right mix of talent, using the right platforms and latest technology to choreograph stories that make a real and meaningful impact for some of the world's leading brands and businesses e.g. HSBC, Ikea, Unilever and eBay to name a few. We earn affection, attention, affinity and purchase by delivering value to people around the world, with deep specialisms across food & drink, travel & tourism, consumer tech, consumer health, automotive, sports sponsorship, entertainment & lifestyle and energy. We are known for: Developing data driven insights and strategies to drive measurable impact Creating impactful creative campaigns that tap into culture Creating channel and platform agnostic campaigns that grow organically Delivering integrated campaigns that are earned-first but deliver for paid and owned What's Happening? Weber Shandwick is excited to be looking for a Data Scientist / Senior Data Scientist (LLM) to join our Analytics & Insights team. This is an opportunity to work with the EMEA team based in London. There is a huge opportunity to grow professionally whilst learning from some brilliant thinkers in how to apply analytics and data science in a business context. Working with various tools and methodologies, the Data Scientist will get first-hand exposure to clients, their business problems and acquire useful transferable skills both in the application of your analytics abilities and in presentation and people skills. The company also offers training opportunities tailored to your career goals and interests. In the Analytics & Insights team, we have diverse backgrounds and expertise, speak many languages and bring this variety together in the work we do as a team. We both have and get to have experience with clients both in the UK and globally, championing insight and analysis in decision-making to enable real business performance. What will you be doing? It really is never boring in our team. The type of analytics work we do covers: Statistical modelling and machine learning Data visualisation / Business intelligence Data pipelines and data warehouse Conversation analysis Audience insights / profiling Campaign reports On a day-to-day basis, our main aim is to identify patterns in data which will provide useful insights to our clients. We channel our positive attitude, critical thinking and analytical mind-sets to solve our client's problems, provide inputs into strategy and see opportunities not visible without data and insights. Depending on scope and requirements we work together or individually to identify insight from large datasets (using NLP, machine learning & Gen AI capabilities) and develop data science and analytics products aimed to solve our clients' business challenges, consolidate processes and revolutionise how we approach our work. Among other things, this role involves the development, integration, and scaling of AI, NLP and Gen AI technologies, as well as optimising data processes and working closely with the broader AI team. Keeping up-to-date with advancements in generative AI and machine learning is crucial. This is a hands-on role. What will you be doing? Design, create, and deploy Machine Learning models and applications aimed at addressing PR and earned media communication requirements. Assist the business in incorporating LLMs, NLP, and generative AI into current processes and workflows where applicable. Develop and maintain robust data pipelines and infrastructure to support ongoing and upcoming projects. Collaborate with both technical and non-technical teams to define, research, and implement solutions. Develop predictive model prototypes to solve a variety of business problems through natural language processing (NLP), natural language understanding (NLU), and recommendation engines Segment audiences using algorithms such as K-means, PCA or GMMs Apply your expertise in data analysis to extract key findings from large datasets and present results beyond the numbers, also using tools like Tableau and Looker Who are you? Skills Needed The preferred candidate will have hands-on experience with large language models (LLMs), including their application in natural language processing systems throughout the development and deployment stages. A deep familiarity with current research and trends in LLMs is advantageous. Strong mathematical, statistical or data science background Proficient in Python & SQL and ability to write clean production code Experience in building datasets, selecting and engineering features, building and optimising algorithms, machine learning in production Experience developing and deploying machine learning models, preferably with LLMs, NLP or GenAI experience Experience in some of the following domains: Deep Learning, Learn-to-Rank, Recommender Systems, Regression, Classification, Clustering Extensive Experience with ML frameworks such as PyTorch, TensorFlow, Keras, scikit-learn and Spark Mllib Experience deploying to cloud systems (AWS, GCP) Strong ability to communicate with technical and non-technical audiences Someone who enjoys a fast-paced environment and has the ability to work both independently and within a team Experience in A/B hypothesis testing (confidence intervals and p-values, linear regression to generalised additive models, time series) Knowledge of Spark, Hadoop or similar platform Experience with CI/CD including Git, Docker Experience with data visualisation platforms like Tableau, Power BI, Looker Studio, etc. Experience with front-end visualisation platforms like Streamlit, Dash, Flask Core Benefits: Private medical insurance Group life assurance Group income protection Employee Assistance Programme Buy or sell holiday Additional life assurance cover Critical illness insurance Travel Insurance Health screening Cycle to work scheme Health cash plan Flexible working with our 3:2 hybrid work model Equivalent of $250 USD for new joiners on 6 month + contract to support home working setup 25 days' annual leave (in addition to public holidays) plus 2 volunteering days, birthday day off work and festive period off Flexible public holidays (from 2023) Sweets and snacks in the office Exclusive shopping discounts and perks Headspace membership Season ticket loan Long service bonus Enhanced family leave Inclusive and invisible health policies We appreciate the time taken to apply for the role and your recent interest in Weber Shandwick. We will review all applications within five working days and be in touch with those who have been shortlisted to the next stage. Unfortunately, due to volume we are not able to get back to everyone individually so if you have not heard back from us unfortunately you have not been successful on this occasion and wish you all the best in your search. At IPG we are proud to be a Disability Confident Employer. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details

CricViz has established itself as the market leader in the collection, analysis and dissemination of data across the world's leading cricket competitions. CricViz has the largest and most sophisticated database in world cricket. This creates unique opportunities for the company to become the world leader in cricket insight and analysis. Our work spans several verticals, including Performance Analysis, Broadcast and Media, and Fantasy and Gaming platforms. As CricViz continues to grow, we are looking to scale rapidly to capitalize on our vast potential. CricViz is seeking a talented Data Scientist to join our dynamic team. In this role, you will leverage our extensive cricket data to generate valuable insights, develop predictive models, and create fan engagement tools that drive revenue growth across our key verticals. You will collaborate closely with the Data Science and Product teams, and other stakeholders to support the data-driven growth of the business. Responsibilities Data Analysis & Modeling: Analyze complex cricket datasets to extract meaningful insights and support business decisions. Develop and implement predictive models using machine learning and statistical techniques. Collaborate with the team to enhance existing models and develop new analytical tools. Product Development: Work with the Product team to integrate data science solutions into our product offerings. Contribute to the creation of performance analysis tools for clients in Professional Cricket teams and the Broadcast and Media sectors. Assist in the development of data-driven features for clients in the Fantasy and Gaming space. Adhere to industry best practices in data science, including model development, validation, and documentation. Stay updated with the latest advancements in machine learning and AI to incorporate into CricViz's offerings. Participate in code reviews and contribute to maintaining high-quality standards within the data science team. Requirements Experience & Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 2+ years of professional experience in Data Science or equivalent academic experience demonstrating relevant skills, preferably with some exposure to the sports sector. Technical Skills: Proficiency in Python (especially the PyData stack: pandas, numpy, scikit-learn, XGBoost), and experience with Git for version control is essential. Strong understanding of machine learning algorithms including linear/logistic regression, decision trees, random forests, unsupervised methods, and neural networks. Experience with Bayesian and mixed models is a plus. Experience in building, validating, and deploying predictive models, ensuring they meet business objectives. Experience with data visualisation tools such as Matplotlib, Tableau, Plotly, Dash. Familiarity in leveraging automation and AI tools for coding and writing purposes is a plus. Analytical & Problem-Solving Skills: Ability to work with large, complex datasets and derive actionable insights. Proven track record of developing models that simplify data for non-technical audiences. Excellent communication and interpersonal skills to effectively collaborate with team members and stakeholders. Ability to present complex information clearly and concisely to diverse audiences. Industry Knowledge: A strong understanding and passion for cricket is highly desirable. Familiarity with the fantasy and gaming space within sports is a plus. Equality & Diversity CricViz is committed to building an open and inclusive culture that supports personal development and learning. CricViz believes in the principle of equal opportunity in employment and its employment policies for recruitment, training, development and promotion despite any differences based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment. Benefits Hybrid role with an expectation to work from our new offices in London and Leeds when required. Company pension scheme. Company life insurance. Flexible Employee Benefits. About Ellipse CricViz is part of Ellipse, a leading sports data and analytics company comprising CricViz, FootballViz, Horse Racing, RugbyViz (Oval and Stuart Farmer Media Services), and TennisViz. Working with the world's biggest broadcasters, professional teams, and rights holders, we simplify complex data to engage a broad and diverse audience and tell better stories about the sports we love. To apply, please send your CV to with the subject Data Scientist. Please also include a cover note outlining your relevant experience. We cannot promise to respond to all applicants due to the volume we receive.

Our startup client based in London is looking for a Senior Software Engineer. You'll be joining a team of four (CEO, CTO, Chief Scientist, and Head of Engineering) as the first software engineer. This role grants you a significant degree of autonomy and influence over the development and direction of the platform and product. You will be building a SaaS product that will allow materials engineers to leverage cutting-edge AI in their work. You'll work on: Building a robust cloud platform for scheduling the training and serving of bespoke AI models for their customers. A rich web-based image manipulation application for pre-processing image data that is used to train machine learning models. What You'll Do: Collaborate closely with the founders and early customers to design the architecture of the platform. Take full ownership of the product lifecycle, delivering end-to-end solutions. Work with a modern tech stack including TypeScript, React/Next.js, Python, AWS, Docker, and Kubernetes. Requirements: A degree in Computer Science or a related field. Experience in startups, ideally with a founder background essential. Strong focus on high-quality software engineering and cloud-based solutions. Expertise in TypeScript and Python, with a full-stack skill set. Willingness to work across both front-end and back-end development (initially front-end focused, but likely to evolve). Comfort with product ownership and customer interactions. Experience with stakeholder management is a plus. At this early stage of the company's development you'll be in the office 5 days a week. If this opportunity sounds interesting, then apply today!

DESCRIPTION The EU Amazon Vendor Services (AVS) and WW Vendor Experience (VX) Program teams are looking for a Data Scientist to help solve cutting edge of applied AI and ML solutions that will power our Voice of Vendor (VoV) program and address major challenges that will contribute to our vendors' success and increased satisfaction. Amazon strives to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online. Core to Amazon's mission to delight and serve customers is a need to invent on behalf of vendors. The EU AVS program aims to provide an industry-leading account management service at the optimal cost-to-serve for Amazon that exceeds vendors' expectations and expedites their growth on Amazon. The WW VX program vision is to make Amazon the most preferred, trusted, and efficient distribution option for vendors by building an industry-leading experience for every vendor across all global touchpoints. The AVS and VX program teams are diverse organizations with employees across Europe and with partner teams around the globe. This role can be based in London, Paris, Madrid, or Luxembourg. These teams drive improvements in products, services, tools, processes, communication, and vendor education worldwide, working with partner teams in Europe, North America, Japan, and emerging locales, and are responsible for all elements of a vendor's interaction with Amazon including listing, catalog management, ordering, supply chain, marketing, payments, value-added services, and vendor support. Key job responsibilities This role will sit in a data and analytics (DNA) team that supports two large program teams (EU AVS and VX), directly working with 15+ product managers. As a key member of the DNA team, you will play a crucial role in leveraging advanced analytics, machine learning, and AI to solve complex business problems and enhance vendor experiences. Specifically, you will lead the development of machine learning and AI solutions that will empower our global Voice of Vendor program to identify business areas (Listing, Ordering, Payments) that have the biggest impact on overall vendor satisfaction. You will provide meaningful vendor sentiment & anecdotes summaries to all partner teams using LLMs. You will develop models to identify the drivers of poor vendor feedback and take corrective and proactive actions to avoid this in the future. Every solution you will build will need to be production-ready. Working closely with both PMs and PM-Ts, you will be involved in the end-to-end product feature development process from conception to productionisation. About the team We are a diverse team representing more than 10 nationalities and sitting across 6 European countries. We are a team of talented, driven individuals who maintain a focus on career and business development while being unerringly pleasant to work with. We focus on people and team, knowing this focus is central to our long-term success. The organisation comprises product managers, technical product managers, BIEs, data engineers, data scientists, and vendor-facing teams. BASIC QUALIFICATIONS - At least a Masters degree in computer science, physics, statistics, mathematics, or a similar quantitative discipline. - 5+ years of experience in using multiple data science methodologies to solve complex business problems. - Experience as a data scientist, applied scientist, research scientist, or equivalent role. - Experience with theory and practice of data science, machine learning, and artificial intelligence. - Experience with data scripting languages (e.g. SQL, Python, R, etc.) and statistical/mathematical software (e.g. R, SAS, or Matlab). - Expertise in SQL, data modeling, warehousing, and building ETL pipelines. - Experience with AWS technologies (e.g. Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions). - Knowledge of software engineering best practices and version control systems. - Excellent ability to communicate with technical and nontechnical stakeholders alike in written documents and verbal communication to collect data requirements. PREFERRED QUALIFICATIONS - Hands-on experience in Natural Language Processing (NLP) and leveraging Large Language Models (LLMs) for real-world NLP applications. - Experience in working on the entire lifecycle of a data product, from conceptualization to productionisation. - E-commerce experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.

Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.

About the role At Sana, we believe that our greatest product is not just the tools we develop, but the team we build. Inspired by the vision of creating a place like Bell Labs, we are committed to gathering the best minds-scientists, designers, engineers, operators, and marketers-to unlock human knowledge with AI. As the Talent Acquisition Lead, you will be at the forefront of this mission, ensuring we maintain extreme talent density. In this strategic role, you will lead our recruiting efforts to accelerate Sana's growth. You'll lead all aspects of the team, from strategic planning to hands-on recruitment. In this role, you'll help craft a long-term global talent strategy that attracts pragmatic dreamers and independent thinkers-those who are brilliant, thoughtful, audacious, and π-shaped. You will partner with senior leaders in end-to-end recruiting, including driving our employment brand, optimizing recruitment processes, and analyzing hiring metrics to enhance efficiency. Please note that the exact role title will be determined based on the candidate's level of seniority. What Will Help You Thrive 5+ years of experience in recruiting with a proven track record in high-growth environments. Demonstrated ability to balance hands-on execution with strategic vision. Experience in organizations that value talent density and are committed to excellence. Strong analytical skills and data-driven approach to talent acquisition. Experience in building and managing headcount and capacity planning. Proven ability to build and manage relationships with hiring managers, candidates, and senior leaders. What We Offer Career development opportunities in a rapidly evolving entrepreneurial environment. Direct collaboration with senior leadership and the opportunity to directly impact company growth and strategy. A collaborative, high-energy team environment where your ideas and contributions are valued and implemented. Competitive salary complemented with a transparent and highly competitive options program. Centrally located offices in NYC, London, and Stockholm, designed as a space for you to do your life's work. About Sana Labs Sana exists to advance how humans access knowledge with artificial intelligence. Our AI products are trusted by the world's most pioneering companies-from Polestar and Merck to Hinge Health and Svea Solar-and have served 1 million people worldwide. Sana has raised over $130m to date from world-leading investors including NEA, Menlo Ventures, and EQT Ventures. We have been featured as a LinkedIn Top Startup, named a winner in the AI and Data category for Fast Company's 2024 Next Big Things in Tech, and recognized on the Forbes AI 50 list as one of the top AI companies developing the most promising business use cases of artificial intelligence. We believe advancing knowledge is the world's most important problem to solve. From writing and the printing press to the internet and Google, the tools that have accelerated access to knowledge have defined human progress. Yet our workplace software hasn't kept up. We're building towards a world where knowledge is not only more accessible, but empowers you to accomplish more than you ever thought possible. If that's a future that excites you, you're in the right place. Come and do your life's work with us.

Machine Learning Scientists Closing Date: 7th February 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Experienced Machine Learning Scientist (PHD or graduates with post-grad experience): £39,500 - £47,500 (depending on your suitability and level of experience) Senior Machine Learning Scientist (qualifications coupled with experience in industry): £52,000 - £62,000 (depending on your suitability and level of experience). A relocation package may be available (terms and conditions apply. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role Do you enjoy designing and developing Machine Learning models? What if you could work with remarkable people on extraordinary things? What if your role was mission critical contributing to produce something a little bit special? For 75 years, AWE Nuclear Security Technologies has been at the forefront of nuclear weapons and security research. Machine Learning has the potential to impact every part of our mission: we have exciting opportunities for Machine Learning Scientists to join our team. We need your knowledge and skills in Machine Learning Operations, model development and deployment. At AWE you will be able to train your models at scale on some of the UK's largest supercomputers, leveraging our long history and bright future in high performance computing. Who are we looking for? We do need you to have the following: Degree in a STEM or IT discipline, equivalent NQF level 6 qualification or equivalent experience Knowledge of data analytic methods and visualisation in languages such as Python Ability to integrate and work well in a team and support or take the technical lead in projects Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Structured approach to problem solving Ability to convey complex and highly technical issues to diverse audiences Familiarity with common Python libraries for data management, statistical analysis, machine learning and visualisation Knowledge of a specific discipline in Machine learning, e.g. NLP, LLM, images, emulation Familiarity with software development lifecycle Linux/HPC computer environments. You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Next steps: Everyone who works at AWE brings unique skills and perspectives to the table. We recognise that great people don't always 'tick every box'. That's why we focus on your potential, your fit with our values, your transferable skills as well as your experience. Even if you don't meet every point above, but you feel that this role and AWE are a great fit for you, please go ahead and apply, we'd love to receive your application. Important things you need to know: We encourage you to apply promptly to avoid disappointment if applications are high and the role therefore closes. You will need to obtain and maintain the necessary security clearance for the role. This will be funded by AWE. The nature of our work does mean you need to be a British Citizen who has been resident in the UK for the past 5 years in order to apply for SC clearance and 10 years for DV. We want you to feel comfortable and able to shine during our recruitment process. Please let us know on your application form if you need any adjustments/accommodations during the process. Our interviews typically take place over Teams and for most roles are a 1 stage process.