22 jobs found

Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description Start here. Grow here. AECOM has an excellent track record of delivering programmes of critical national importance in defence, which has positioned the business as one of the leading professional services consultancies for the UK MOD, Defence Manufacturers and Contractors, and with the US Department of Defense (DoD) across Europe. With the sector of strategic importance to AECOM, representing a quarter of topline revenue for the region (c.$180m) and with a strong outlook for growth in 2025 and beyond. Our Scotland Electrical team is looking for a highly proficient Senior Electrical Engineer to join our engineering team. What you'll do! The purpose of the role is to lead the High Voltage & Low Voltage electrical services for the planning, oversight, supervision, and assessment of the production of the infrastructure design documentation. This will include planning for and supporting integration with internal project stakeholder groups as well as external customer stakeholder groups. Typical activities will include: Attendance at design review and project meetings. Attendance at Hazard Identification Workshops, optioneering reviews and other stakeholder meetings. Originating and reviewing of engineering documentation. Stakeholder Management. Identify project functional requirements and stakeholder needs for assigned project. Manage Consultant engineering support to the project. Contribute to the effective development and delivery of training within own area of specialism. Come grow with us: And let's not forget about the perks at AECOM. You'll enjoy a range of core and personalised benefits designed to support your future and well-being, customized to fit your lifestyle. Take advantage of career development opportunities, our flexible hybrid working model to ensure a work-life balance that suits your lifestyle, technical practice networks, AECOM University, and volunteering days. Qualifications Ready to push the limits of what's possible? Requirements: BEng electrical engineering degree or equivalent experience. Chartered Engineer (CEng) status or equivalent experience Knowledge of current design standards and working practices including British & European Standards. Knowledge on High Voltage & Low Voltage electrical systems. Theoretical and practical skill and experience across concept design, detailed design and construction stages across various electrical engineering projects (ideally including industrial and/or maritime). Experience in the design assessment of electrical plant and equipment to withstand hazards. Experience working on multi-discipline projects providing electrical engineering input (ideally within defence and/or maritime) Desirable: Experience of working in the UK nuclear industry (energy or defence), particularly in the design and assessment of safety-related structures, systems and components. Knowledge of UK and US nuclear industry regulation and practice, and application of relevant nuclear specific codes and standards Important Details: Due to the nature of the work undertaken successful applicants will need to have active UK SC Clearance or the ability to gain UK SC clearance. This role will also require you to work onsite in Glasgow 3 days per week. At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you Additional Information Call to action: Interested in the role or curious about life at AECOM? Follow us on LinkedIn, Facebook, Instagram, and YouTube to explore our AECOM voices, employee stories, latest projects, and much more! About AECOM AECOM is the world's trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you're working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We're the world's trusted global infrastructure firm, and we're in this together - your growth and success are ours too. Join us, and you'll get all the benefits of being a part of a global, publicly traded firm - access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person's potential, and we'll help you reach yours. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines. ReqID: J Business Line: B&P - Buildings & Places Business Group: DCS Strategic Business Unit: Europe & India Career Area: Engineering Work Location Model: Hybrid Legal Entity: AECOM Limited

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for a leader with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities You'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the hiring group About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - PhD Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidates with strong technical experiences and a passion for building scientifically driven solutions in a fast-paced environment. This Senior Applied Scientist should have a good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience in building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You will work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for a leader with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities You'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the hiring group About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term 'sensitive content' includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term 'content' refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS 4+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Posted: October 1, 2024 Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's Trans Systems Analytics & Customer Experience (TSA & CX) team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts and solving anomalies in systems and their behavior to achieve business goals. We are based out of the EU headquarters in Luxembourg and looking for a talented and motivated Senior Applied Scientist to innovate and enhance our outbound network optimization and management products. In this role, you will solve highly visible problems that are important for senior leaders across organizations. Key job responsibilities We want you to solve capacity optimization problems and re-define the way we approach resource allocation. You are someone: With business acumen with strategic, analytical, and critical thinking, who can understand the business challenge and develop technical and algorithmic solutions to those problems. Who understands the technical software development life cycle and has experience driving research teams towards business solutions. Who drives strategic product communications across organizations providing clarity in decisions. Has experience developing scalable applied science solutions. Minimum Requirements - PhD, or Master's degree - Experience programming in Java, C++, Python or related language - Experience in applied research - Background in Operations Research highly desirable or experience in optimization of resource allocation - Experience in building models for business applications - Able to communicate highly complex concepts to a business audience. - Hands-on experience leading large-scale big data and analytics projects. - Experience applying theoretical models in an applied environment. - Experience diving into data to discover hidden patterns and conducting error/deviation analysis. - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit our accommodations page for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

You will need to login before you can apply for a job. Sr. Applied Scientist (Operations Research), EU Fulfillment Optimization Sector: Distribution and Warehouse, Operations and Facilities Management, Research and Development, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's EU Fulfillment Optimization team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts and solving anomalies in systems and their behavior to achieve business goals. We are based out of the EU headquarters in Luxembourg and looking for a talented and motivated Senior Applied Scientists to innovate and enhance our outbound network optimization and management products. In this role, you will solve highly visible problems that are important for senior leaders across organizations. Key job responsibilities We want you to solve capacity optimization problems and redefine the way we approach resource allocation. You are someone: With business acumen with strategic, analytical, and critical thinking, who can understand the business challenge and develop technical and algorithmic solutions to those problems. Who understands the technical software development life cycle and has experience driving research teams towards business solutions. Who drives strategic product communications across organizations providing clarity in decisions. Has experience developing scalable applied science solutions. BASIC QUALIFICATIONS PhD or Master's degree. Experience programming in Java, C++, Python or related language. Experience in applied research. Background in Operations Research highly desirable or experience in optimization of resource allocation. Experience in building models for business applications. Able to communicate highly complex concepts to a business audience. PREFERRED QUALIFICATIONS Hands-on experience leading large-scale big data and analytics projects. Experience applying theoretical models in an applied environment. Experience diving into data to discover hidden patterns and conducting error/deviation analysis. Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Company Learn more about this company Visit this company's hub to learn about their values, culture, and latest jobs.

King's College London is an internationally renowned university delivering exceptional education and world-leading research. We are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. We are delighted to announce exciting new opportunities to join our dynamic and interdisciplinary scientific community, as part of a major cross-faculty investment in science focused on boundary-breaking research, education and innovation. We are looking for interdisciplinary scientists focused on applying and integrating physical and life sciences approaches to understand the complexity of living systems and enable technologies seeking to engineer biology. This includes combining empirical, theoretical and computational/AI methods from different disciplines and across scales, spanning molecules, cells, organs, organisms and populations. Successful candidates will play a key role in developing and executing internationally leading research and work collaboratively across King's. You will have a strong research track record, demonstrating interdisciplinary engagement, and be ready to grow a research programme that attracts external funding. You will also be committed to educating scientists and researchers of the future through a range of interdisciplinary undergraduate and postgraduate degree programmes. We also wish to maximise the relevance of our work to society through high impact research through engagement with industry and public engagement that engages diverse audiences, especially in our local communities in London and beyond. It is important that King's reflects the diversity of the population we serve, and we strongly encourage applications from candidates of all backgrounds. Shortlisted candidates will be consulted on appropriate discipline areas and host departments as part of the selection and interview process. There are up to 2 positions available. These are full-time positions 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: Essential criteria (Lecturer) PhD qualified in relevant subject area Scientific synergy with current research at King's Significant expertise in an area of scientific research Demonstrable contribution to developing peer reviewed funding/fellowship applications Ability to define and lead a research area, taking responsibility for planning and undertaking own work Ability to work well as an effective member of a wider multi-disciplinary team and to share and encourage good practice Excellent record of publication in peer reviewed journals Experience of undergraduate and/or post graduate teaching Strong presentational, organisational and administrative skills Desirable criteria (Lecturer) Experience of interdisciplinary working in collaborative projects across disciplines Record of attracting independent peer reviewed research grant funding Experience in supervising and developing research students and/or staff Essential criteria (Senior Lecturer) PhD qualified in relevant subject area Scientific synergy with current research at King's Significant expertise in an area of interdisciplinary scientific research Strong record of attracting peer reviewed research grant funding or fellowships Ability to define and lead a research area, taking responsibility for planning and undertaking own work Ability to work well as an effective member of a wider multi-disciplinary team and to share and encourage good practice Excellent record of publication in peer reviewed journals Significant experience of undergraduate and/or post graduate teaching Strong presentational, organisational and administrative skills Experience in supervising and developing research students and/or research staff Desirable criteria (Senior Lecturer) Track record of interdisciplinary working in collaborative projects across disciplines Experience of serving on professional scientific boards and committees Active membership of peer-reviewing bodies, for UK and overseas research councils Experience of industrial/commercial funding opportunities to underpin applied research Applications should include: A1 page cover letter highlighting your key scientific contributions, a brief summary of future plans and fit with King's. Please also indicate which departments/faculties you feel that you best align with A CV with a full publication list A research statement (up to 2 pages) A teaching statement (up to 1 page) Details of three academic referees, including one from your current or most recent employer. Should you be shortlisted, letters of recommendation will be sought ahead of the interview from two of your references. The third reference, from your current employer, will only be requested with your consent. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our 'How we Recruit' pages. We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK. Closing date: 6 th April 2025. Contact details: Professor Michael Malim.

Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting-edge communications technology. At NPL, we touch ordinary lives in extraordinary ways and you could too. NPL is looking for a senior expert with demonstrable world leading experience in Underwater Acoustics to join us as a Principal Scientist. Research is what drives our business. And it will be up to you to develop and lead your team, setting your technical area's strategic direction and ensuring your vision is delivered. When it comes to solutions, you don't just rely on established methodologies. To get the results you seek, you're willing to challenge what we do and how we do it, so that we're expanding our capability. In doing so, you'll be able to drive collaboration - internally and externally - to enhance activity and optimise commercial opportunities. Your passion for your work means you already have a great network through which you'll promote our work, representing NPL and speaking wherever you're needed. As your work progresses, and new learnings established, you'll make sure you bring the team with you - training and developing them so that they grow with us. Responsibilities The responsibilities of the Principal Scientist within Underwater Acoustics will include: Leading, designing and executing experimental and theoretical research including development of novel measurement tools and methods in support of current and future underwater acoustic applications. Creating a vision for the underwater acoustics in the Ultrasound & Underwater Acoustics Group, addressing UK government challenges for the underwater acoustics area. Playing a leading role on national and international standards committees, representing NPL and the UK at international meetings. Leading and fostering the team's engagement with UK and overseas organisations (other National Metrology Institutes, UK Government, Academia and Commercial Customers) to maintain NPL position as a leading NMI in underwater acoustics. Responding to commercial and grant-based ITTs and obtaining research funding for this area aligned with NPL strategic priorities. Consulting and working in partnership with internal and external stakeholders to determine how NPL can provide support to improve the quality of methods and tools used for underwater acoustic applications, and develop tools and methods for future applications that require traceability. Working in partnership with other NPL departments, and collaborating across NPL to develop new opportunities and to develop new research and service opportunities including establishment of mutually beneficial collaborations and nurturing of existing partnerships. Planning and management of science portfolio, including development of project proposals, management of projects to achieve results in accordance with milestone schedules and within budget, and development of partnerships with other internal and external partners. Working with industry partners to establish formal collaborative agreements to create innovative, high-impact research programs, and transfer their successes directly to industry. The position will be based at NPL's Teddington site, involving occasional travel, such as customer site visits, in situ measurements work and representing NPL at national and international meetings, conferences and events. Qualifications To be successful in the role, you will be sought out and internationally respected by the underwater acoustics community for your expertise and have: Proven experience winning, leading and conducting international research work with published articles in internationally recognised scientific journals. Experience leading national and international standards development, or a track record contributing to underwater acoustics standards. Track record developing and implementing technical solutions in underwater acoustics funded by the civil and/or defence sectors. Track record presenting results in the form of reports, manuscripts, oral presentations. Experience developing and executing business strategy to commercial and technical initiatives. Experience managing full life cycle of large scale research programs. Demonstrable experience leading and motivating scientific and technical staff. To lead and inspire a scientific team, not only will you need to be a leading expert in your field, you'll also need experience of motivating a team. Inspirational, influential and a relationship builder, you have the scientific and commercial awareness to help NPL achieve our ambitions. Beyond that, we're looking for someone who'll thrive in an environment like ours. At NPL we learn from each other, respect each other and work together to do better. For ourselves and for our customers. And whilst we're always looking to stretch beyond what we know, we don't make things more complicated when there's no need. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. To work in this role at NPL, you will need to have an SC clearance, or you must have the ability to obtain an SC clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical.

DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, implement, and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud 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.

Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Posted: October 16, 2024 (Updated 1 day ago)

AWE's Radiological Assessment Team is now recruiting for a Senior Theoretical Scientist to support Atmospheric Dispersion and Hazard Prediction through experimental trials, scientific research and software model development. This role will provide the successful candidate with interesting and unique work on a daily basis! Location - Reading area Package - £41,950 - £61,000 (depending on your suitabi click apply for full job details

We are currently looking for a Senior Scientist- Formulation & Development to join a leading Pharmaceutical company based in the Kent area. As the Senior Scientist- Formulation & Development you will be responsible for the following. KEY DUTIES AND RESPONSIBILITIES:Your duties as the Senior Scientist- Formulation & Development will be varied however the key duties and responsibilities are as follows:1. Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies.2. Practical and theoretical understanding in a range of scientific skills and technologies associated with formulating and process manufacturing at all lifecycle stages.3. Demonstrate competency and innovation on a range of complex skills and equipment, including laboratory scale, pilot scale and / or commercial manufacturing processes and equipment associated with oral liquid and solid dosage forms.4. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. As well as Lead and Mentor in the design of protocols and experiment work.ROLE REQUIREMENTS:To be successful in your application to this exciting opportunity as the Senior Scientist- Formulation & Development we are looking to identify the following on your profile and past history:1. Relevant degree plus experience, or PHD in relevant field.2. Relevant working knowledge of formulation and product development of oral, solid and liquid dosage forms. 3. Demonstrated knowledge of product and process lifecycle developmentKey Words: Senior Scientist, Formulation, Process Development, Chemistry, Drug Development, Process Manufacturing, GxP, GMP, GLP.Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer who are certified by Investors in People for talent development. We therefore welcome applications for any interested parties who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors, and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.

Reed Scientific is recruiting for an Analytical Chemist with expertise in GC-MS for our client in Bedfordshire. My client believes in developing their employees and each member of staff will have a career development plan with support, to get them on their desired career path and to be promoted within the organisation. Whether they choose to become a Team Leader or a Senior Scientist The role is based in a busy laboratory environment, within a collaborative team. Salary range £23,000 - £28,000 Benefits: Competitive pension scheme, increasing with length of service, life assurance, medical cash plan, dental insurance, competitive pension, discount scheme and MORE! Hours: Monday - Friday, days only Responsibilities Perform analysis on a wide range of samples according to set procedures. Operation of GC-MS and GC-MS/MS systems, prioritising your workload and ensure deadlines are met. Carry out maintenance and troubleshooting of laboratory instrumentation and equipment. Preparation of samples, reagents, and solutions. Processing, interpretation and recording of analytical results Qualifications, Experience and Skills We're looking for candidates with experience in the analytical process, ranging from sample extraction to analysis of data and reporting the results. The Analytical Chemist should have an excellent understanding of the practical and theoretical aspects of GC-MS. You'll be required to troubleshoot and improve existing methodologies. A degree in Chemistry or a related subject Experience of working in an accredited analytical testing laboratory Hands on experience of using GC-MS Excellent communication skills at different levels If you have the experience and qualification requires and would like to be considered for this role, please apply online now.

Senior Associate Analytical ScientistCompany:Jazz Pharmaceuticals (Prev. GW Pharmaceuticals)Location:KentSalary:£31000.00 - £37000.00HRS Consultant:Rahul Bawa Contact Details: (0) We are currently looking for a Senior Associate Analytical Scientist to join a leading pharmaceutical company based in the Kent area. As the Senior Associate Analytical Scientist you will be responsible for KEY DUTIES AND RESPONSIBILITIES:Your duties as the Senior Associate Analytical Scientist will be varied however the key duties and responsibilities are as follows:Practical and theoretical understanding in a range of Pharmaceutical Analysis technologies (e.g., Chromatography, Spectroscopy, Dissolution etc.).The successful candidates will have a background in Analytical Chemistry combined with demonstrated expertise in HPLC method development and validation, UV Spectroscopy, Dissolution testing and experience of other analytical methodologies utilised to characterise Pharmaceutical Drug Products and APIs.Experienced in regulatory requirements for the development and validation of methods for content and the separation of impurities and degradation products in Pharmaceutical Drug Products.Experience in Physical Characterization techniques like XRPD, DSC, Particle Size determination, Rheology etc., is desirable.ROLE REQUIREMENTS:To be successful in your application to this exciting opportunity as the Senior Associate Analytical Scientist we are looking to identify the following on your profile and past history:1. A relevant science degree.2. Industry experience in formulation and process development.3. Awareness of statistical principles.Key Words: Analytical Scientist, Analytics, Formulation, Process Development, Analytical Chemistry, Chemistry, UV Spectroscopy, Dissolution, HPLC, Chromatography.Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer who are certified by Investors in People for talent development. We therefore welcome applications for any interested parties who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors, and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.

Data Science - Modelling Chapter Lead Lloyds Banking Group is the UK's leading bank with over 30m customers and its biggest digital bank, with over 13 million active online customers. We've placed an ambitious transformation programme and a multi-channel approach to banking at the heart of our strategy to be the best bank for customers, backed by significant investment in our platforms and people. Why join the Data Science Team? You'll get exposure to many interesting projects across the wide range of business areas within Lloyds Banking Group. We take ideas from the concept stage and work with colleagues to demonstrate how data science and machine learning can be applied to improve customer experiences and deliver value. These solutions are engineered into live ML systems that make a material impact on the lives of up to 30m+ customers across the whole of the UK. What will I do as the Chapter Lead for Modelling within Data Science? You will Guide the team of technical leads within the Modelling Chapter, who are responsible for helping our project delivery teams to develop and implement best practice solutions. Own and continually improve upon our current approaches for tackling common ML tasks - e.g., price optimisation, propensity modelling, time-series forecasting, model monitoring, etc. You'll ensure that these are understood within the data science community and will defend these approaches during the model review process. Steer the 'Modelling Chapter' and help them approach more complex problems that require new approaches to be introduced. You'll manage the delivery of proofs-of-concept that demonstrate these new capabilities and how they can deliver value to future projects. Work closely with the ML Engineering team to define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring, etc. Contribute to the recommended training curriculum and progression paths for professional development, from the graduate scheme to senior technical leads, and help steer the Modelling Guild to focus on contemporary data science topics that are relevant to Lloyds Banking Group. This is what we're looking for... We're keen to speak to senior data scientists and technical leaders in machine learning that have relevant experience. As a minimum to be considered we will be looking for: Experience leading data scientists and an ability to influence technical standards. A strong communicator that can collaborate effectively with other teams (e.g., ML Engineering, Intelligent Automation), and explain technical concepts to non-technical stakeholders. A good theoretical and applied knowledge of a broad range of statistical modelling and ML techniques, such as: regression, clustering, decision trees (including random forests and gradient boosted trees), time-series forecasting and deep learning (as applied to structured and semi-structured data). A pragmatic, "keep it simple" attitude to your work and designs. This would be a great role if; You are customer focused and want to continuously improve our systems. You want to influence how data science is practiced throughout Lloyds Banking Group. You want to experiment with new ideas and techniques in data science and ML. You have an automation mindset. And how will we challenge you? We are lucky to have a continuous and interesting supply of work, lots of different data sets to work with and a continually evolving infrastructure. You'll have exposure to many data science problems and an opportunity to continually improve the ways in which they are approached. You'll influence some of the best data scientists in the organisation and help to grow a thriving data science community.