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- Dorothy HouseWinsley
- Employee discount
- Company pension
- Line managing research staff employed on externally funded research grants.
- Knowledge of research governance, ethics and Good Clinical Practice within health or…
- PSPAMilton Keynes MK9 3BN
- Annual leave
- Represent PSPA at research events as well as organise PSPA’s research events including International Symposiums.
- £37,127 per annum full time.
- The ArmyUnited Kingdom
- Pay rise
- Annual leave
- Company pension
- Discounted or free food
- Become a military intelligence expert.*.
- As a full-time soldier, entry-level Intelligence Operative, you'll:
- To qualify, you must be between 16 years 6 months…
Geospatial Data Scientist
NewOften replies in 1 dayJBA Risk ManagementSkipton BD23 3FD- Flexitime
- Free parking
- Profit sharing
- Company pension
- Cycle to work scheme
- On-site parking
- Contributing to the development of reproducible data workflows.
- Developing and implementing machine learning models for various projects.
- Huxley§London
- Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help…
- Diamond Light SourceDidcot
- Annual leave
- Free parking
- Company pension
- Flexible schedule
- On-site parking
- You should be comfortable working independently to define and pursue research directions, while also collaborating effectively within a multidisciplinary team.
- Diamond Light SourceDidcot
- Annual leave
- Free parking
- Company pension
- Flexible schedule
- On-site parking
- You should be comfortable working independently to define and pursue research directions, while also collaborating effectively within a multidisciplinary team.
- Praetorian Connections LtdLondon
- Referral programme
- Employee discount
- Sick pay
- Bereavement leave
- Additional leave
- Company pension
- Support wider team priorities and ad hoc research requirements.
- Experience using structured research methodologies or information management systems.
View similar jobs with this employerSouth East WaterFarnborough GU14 0NZ- Sick pay
- Life insurance
- Cycle to work scheme
- On-site parking
- Work from home
- Health & wellbeing programme
- You will connect environmental science with practical engineering to make sure every drop of water meets strict safety rules.
- Pay: Up to £41,930.00 per year.
- Sandberg LLPClapham SW4 7TD
- Sick pay
- Life insurance
- Company pension
- Cycle to work scheme
- Enhanced maternity leave
- Enhanced paternity leave
- We are looking for a technically accomplished geomaterials scientist with a passion for investigation, problem-solving and professional excellence.
Band 6 Biomedical Scientist (Multi Disciplinary)
Often replies in 3 daysNationwide PathologyMarket Harborough LE16 9TR- Free parking
- Company pension
- Casual dress
- Free flu jabs
- On-site parking
- You will perform laboratory testing using several different methods and machines to ensure that clients receive quick and accurate results.
- BioNTech AGLondon NW1 3DX
- As Director, Clinical Quality Assurance Compliance you will lead quality assurance activities across clinical development programs in global teams.
- Praetorian Connections LtdLondon
- Referral programme
- Financial planning services
- Employee discount
- Sick pay
- Bereavement leave
- Additional leave
- Support wider team priorities and ad hoc research requirements.
- Experience using structured research methodologies or information management systems.
Compatibility Scientist
Often replies in 6 daysTristel Solutions LtdSnailwell CB8 7NY- Sick pay
- Bereavement leave
- Life insurance
- Additional leave
- Company pension
- Discounted or free food
- The Compatibility Scientist supports the Company’s technical functions by defining and leading compatibility assessment strategies to evaluate interactions…
- Health Innovation South WestExeter EX2 5FD
- Referral programme
- Sick pay
- Sabbatical
- Life insurance
- Free parking
- Company pension
- Carrying out desk research and literature reviews,.
- Quantitative research skills which might include knowledge of basic and/or advanced statistical techniques.
View similar jobs with this employerDataAnnotationSouthampton- Flexible schedule
- 3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology,…
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Job Post Details
This job has expired on Indeed
Reasons could include: the employer is not accepting applications, is not actively hiring, or is reviewing applicationsLanguage Engineer, Artificial General Intelligence - Data Services - job post
3.53.5 out of 5 stars
Cambridge
Full-time
Location
Cambridge
Full job description
DESCRIPTION
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.
Key job responsibilities
About the team
Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.
Key job responsibilities
- Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
- Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches
- Analyze and extract insights from large amounts of data
- Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language
- Use modeling tools to bootstrap or test new AI functionalities
- Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
About the team
Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.
BASIC QUALIFICATIONS
- Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)
- 2+ years experience in computational linguistics or language data processing or AI data creation
- Experience with language data annotation systems and other forms of data markup
- Proficient with scripting languages, such as Python
- Experience working with speech, text, and multimodal data in multiple languages
- Excellent communication, strong organizational skills and very detailed oriented
- Comfortable working in a fast paced, highly collaborative, dynamic work environment
PREFERRED QUALIFICATIONS
- PhD in Computational Linguistics (or equivalent field with computational emphasis)
- Expertise in bootstrapping AI data collections for quickly evolving requirements
- Extensive experience working with speech, text, and multimodal data in multiple languages
- Experience in data creation for complex agentic workflows
- Practical experience with Machine Learning
- Familiarity with technical concepts such as APIs
- Practical knowledge of version control and agile development
- Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
- Willingness to support several projects at one time, and to accept reprioritization as necessary
- Able to think creatively and possess strong analytical and problem solving skills
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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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