NLP PEOPLE

Are you passionate about the financial markets and excited by the prospect of creating customized solutions for the world's leading financial professionals? If so, join our comprehensive training program for the Advanced Specialist team as part of the Analytics group, a key part of our Financial Products business. Advanced Specialists are integral to the Bloomberg Help Desk, taking advanced questions from clients who use our state-of-the-art Bloomberg Terminal, also known as the Bloomberg Professional Service. The Advanced Specialists are responsible for having the highest level conversations with our customers either through real time chats, phone calls or face-to-face interactions. The team focuses on providing bespoke solutions in either Equities, Fixed Income, Foreign Exchange and Commodities. More importantly, their expertise expand to Niche areas of the business which include but is not limited to Portfolios and programming. What's Financial Products all about? The Financial Products team provides analysis and data to Bloomberg clients. We deliver the company's core product, the legendary Bloomberg Professional Service, reaching more than 320,000 subscribers and millions of business professionals. What we do as Advanced Specialists? Advanced Specialists work very closely with Sales and Analytics as partners to provide value-added business solutions to our customers through the Bloomberg Professional service. Responsibilities include: - Consulting with clients in real time to provide them with answers to the most in-depth questions received by the help desk - Creating content, delivering and coordinating the training to our employees within the Sales and Analytics teams - Mentoring high performing individuals from the analytics department - Works closely with the Analytics management team to improve operational efficiencies within the department - Collecting and acting upon client feedback on product to drive development - Advanced specialists have expert product knowledge where each individual has a particular niche where they excel. Sales will leverage your diverse skills to showcase our customer services ability to go above and beyond standard expectations What to expect from your full-time opportunity You will start off your career within the Analytics department. In the beginning you will be required to go through a comprehensive training program designed to develop your cross asset and product knowledge so that you are prepared to take questions from clients on the Bloomberg Help Desk. Through daily interactions with key players in the financial industry, you will further enhance your skills in managing client relationships and problem solving. Upon successfully achieving your specialization, you will embark on your Advanced Specialist training path which will include more in-depth training as well as a rigorous self development plan to further acquire niche knowledge in preparation for the expectations of the role. Company: Bloomberg Qualifications: What we look for: - Bachelor's degree or relevant work experience required (or regional equiv) - Business fluency in a second language preferred (As needed regionally) - Strong interest in financial markets and understanding of Bloomberg's position within it - Experience in and enthusiasm for customer service - Interest in technology and software solutions is desirable - Multi-tasking and ability to work well under pressure - Excellent verbal and written communication skills - Desire and flexibility to learn and grow in a fast-paced environment - Team player - Very Strong desire and ability to learn new theory and functionality - Proven experience in managing multiple projects simultaneously - Experience in speaking in front of larger audiences - Excellent critical thinking and problem solving skills - Prior experience with use of the Bloomberg Terminal is a plus Educational level: Bachelor's Degree How to apply: Please mention NLP People as a source when applying Tagged as: Bachelor's Degree , Data Mining , Industry , NER , United Kingdom

Artificial Intelligence Engineer / Data Scientist £50k - £90k dependant on experience bonus good bens. Flexible Working Location opportunity. This role may suit individuals who have previously held roles such as Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, or AI Engineer. We are assisting in recruiting AI Engineers / Data Scientists to join an innovative and growing team within the data practice of a prestigious global technology consulting firm. The client offers excellent career growth, professional development, and a personalized benefits package. Candidates must ideally have UK security clearance and be fully flexible regarding working location. The successful candidate will be a key team member designing modern analytical data solutions, engaging in the full project lifecycle. The role offers a diverse range of exciting work. Key Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks / Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business needs into technical solutions Experience in designing Data Science projects, planning, and team leadership Deerfoot IT Resources Ltd is a leading IT recruitment business. We will always email a full role specification, specify the client, and wait for your approval before submitting your CV. We donate £1 to The Born Free Foundation for each CV sent to a client.

This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients and colleagues. Heavy use of SQL programming and statistical packages. Analyse, understand, clean, integrate and process complex/messy data. Execute and deliver standard analytics services efficiently and consistently. Be proactive, creative and inventive to solve problems to enhance existing and develop new analytics related products and services. My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem solving abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest a tremendous amount of time and money on skills training and personal development, so it will be a huge opportunity to progress your career from a technical Data Science skills and personal growth perspective. Educational level: Master Degree Tagged as: Big Data , Data Analysis , Data Mining , Industry , Master Degree , United Kingdom

Our client is a globally renowned Consumer Electronics brand with a huge online presence and are looking for a Data Engineer to join their small but expanding big data analytics capability based in Central London. The Data Engineer will be responsible for providing analytical and development services on their large scale data sets with a range of teams on an international scale, complementing their existing SQL and ETL statistical environment. Working closely with the agile data analysis teams, you will need to ensure their reusable data assets build in a regular, efficient manner. This is an exciting opportunity to join one of the most recognisable technology brands in the world and work with highly complex, large scale data sets and there's an excellent salary/package on offer. Cornwallis Elt is an Employment Agency and has been listed 3 times in The Sunday Times Virgin Fast Track 100 of the UK s fastest growing private companies, as well as in the Recruitment International Top 250, Top 50 in IT and the Recruiter Fast 50. Company: Cornwallis Elt Ltd (Rec.) Qualifications: We are therefore looking for someone with a strong Computer Science or Mathematical background with a proven ability in software development with languages such as Java and/or Python. Working knowledge of Unix environments is required, including Shell Scripting. A passion for learning new languages is vital on top of already advanced SQL skills for data manipulation, ideally with Netezza or a similar technology. How to apply: Please mention NLP People as a source when applying Tagged as: Big Data , Data Analysis , Data Mining , Industry , United Kingdom

Data Scientist - skills in statistics, physics, mathematics, Computer Science, Engineering, Data Mining, Big Data (Hadoop, Hive, MapReduce) This is an exceptional opportunity to work as a Data Scientist within a global analytics team, utilizing various big data technologies to develop complex behavioral models, analyze customer uptake of products, and foster new product innovation. Responsibilities include: Generating and reviewing large datasets through advanced quantitative and statistical techniques. Designing, building, and utilizing consumer behavioral forecasting models across different business sectors to maximize opportunities. Leading initiatives to enhance data accuracy, availability, granularity, and coverage. Developing analytics strategies to improve customer and product strategies. Designing better data analysis processes for future use. Proactively deriving actionable insights from large datasets using advanced statistical techniques. Analyzing customer behavior patterns to optimize product performance and customer experience. Building complex behavior forecasting models to identify links between behavior and new opportunities. Manipulating high-level data and presenting findings clearly to senior stakeholders. Supporting the development of analytics strategies to enhance product plans and customer engagement. Ideal candidates are talented scientists with exceptional data analysis and problem-solving skills, capable of discerning hidden patterns and signals within financial markets. Company: Recruitment agency Qualifications: Commercial data science experience Proficiency in SAS Master's or PhD preferred in statistics, physics, mathematics, Computer Science, or Engineering Experience creating customer segmentation models Data Mining expertise Proficient in MS Office This is a fantastic career opportunity in the Big Data domain. The company invests heavily in skills training and personal development, offering significant growth potential in technical Big Data skills and personal development. Please send your CV for immediate consideration for this exciting Data Scientist role. Educational level: Master's Degree Experience level: Mid Career (2+ years of experience) Tagged as: Big Data , Data Analysis , Data Mining , Industry , Master Degree , United Kingdom

Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how allows users to discover new information by navigating through all our information and automatically generating actionable insight from it. The successful candidate will join our research team whose main goal is to analyse, implement and experiment with different algorithms to solve or improve solutions to different challenges such as summarization, clustering and event detection. How we work We currently have a team of 15 people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in academic conferences. As an example, we have just presented an industry talk and a demonstration (which won the best demonstration award) in ECIR 2015. We are based in Second Home, a vibrant and innovative working space in the heart of London. Candidate background A successful candidate will need to be able to propose, implement and evaluate solutions to real-world requirements, while being able to work in a team of developers and researchers. We are looking for a candidate who is ambitious, entrepreneurial and ready to buy into the long-term vision of this company. The ideal candidate should be highly technical, have strong analytical skills, share our innovative values and be self-motivated. Excellent communication skills, being open-minded and inquisitive and having the desire to learn new skills are essential to thrive in our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g. natural language processing, information retrieval, machine learning or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept / Topic Extraction Document summarization Trend Detection Sentiment Analysis Substantial programming experience (preferably in a commercial environment) Clojure or similar languages (e.g. Java or Python) Software collaboration and revision control (e.g. Git or SVN) Desired skills and experiences: ElasticSearch / Kibana Cloud computing (e.g. AWS) Hadoop / Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom

A leading multinational retailer is seeking a Lead Data Scientist to join their office in Central London. Your role will be to help shape and expand a highly analytical team of Data Scientists that are focused on delivering a better understanding and insight of the business based on data. The core work involves integrating and analysing the business and external data sources, building models that learn from these data, and providing tools that allow the business to make decisions from these models. This is a key role within the business and you will be responsible for: - Managing a team of Data Scientists - Setting the strategy and direction the team should take - Translate ambiguous business challenges into data science problems and applications - Communicate complex solutions in a clear, understandable way to non-experts - Promote Data Science across the business Company: ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An expertise in at least one specific data science area such as text mining, recommender systems, pattern recognition or regression models - Previous experience in leading a team, ideally of Data Scientists Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Industry , Master Degree , NLP , Pattern Recognition , Recommendation System , United Kingdom

Trust In Soda are looking for a Senior Data Scientist to join a client we work with in London who are a highly regarded, household media publisher! Within the role you will be working with huge sets of data; my client owns over 80 websites and have 120m unique browsers each month! Although the whole company is large in terms of headcount, this role sits in a smaller and more nimble data team that operate more like a start up! They follow their own Agile process and create their own rules to get the job done. You will be working collaboratively with other Data Scientists, Analysts, Engineers, Product & UX to drive forward data-based platforms, enhance user facing products and build highly advanced analytical tools. Company: Trust in Soda Qualifications: Essential Requirements: Extensive experience in deploying products Solid experience with Python, and associated libraries such as scipy, scikit-learn and pandas/numpy Experience creating NLP / DL / RNN models Experience with Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics or similar Desirable Requirements: NoSQL databases - Elasticsearch, MongoDB etc (bonus) Modern Data tools such as Spark / Beam (bonus) Streaming technologies such as Spark/Akka Streams (bonus) Tagged as: Industry , NLP , United Kingdom

"Natural Language Processing - computer activity in which computers are tasked with analyzing, understanding, altering, or generating natural language." This field has been evolving since the 1950s and is now utilized by some of the most innovative companies worldwide. It is an area I find fascinating. While some aspects of NLP may seem straightforward to a Data Scientist, they can be quite complex and impressive to others trying to understand the capabilities of modern computers. I do not claim to be an NLP expert myself, but I enjoy working with clients who are, and I am eager to see how they are applying NLP and the exciting possibilities it offers. Currently, my client is seeking someone with a deep technical knowledge and passion for NLP. They are an innovative start-up based in London, focusing on NLP, machine learning, and text mining. They are developing their own active learning algorithms and intellectual property, and are looking for someone to lead their engineering efforts. If this role isn't suitable for you, perhaps you know someone who might be interested. Company: Revolution Technology Qualifications: Skills required: Computer Science background Algorithm implementation Machine learning expertise Proficiency in Go, C, C++, Redis Experience with multi-language text processing How to apply: Please mention NLP People as a source when applying. Apply here Tags: Industry , Machine Learning , Natural Language Processing , NLP , United Kingdom

Elsevier is in the midst of a TRANSFORMATION and TECHNOLOGY is simultaneously at the FOREFRONT and the DRIVING FORCE. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semantic web and cloud technology, enabling faster more effective critical decision-making daily across the globe. Product Mendeley is part of Elsevier. Mendeley is changing the way research is done. We are mission led with a strong commitment to providing the best tools to help researchers and scientists do their work. We've built a global research collaboration platform, reference management tool and open research database. The Role We are looking for a Data Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems that help researchers to organise their research, contextualise it with respect to other research, collaborate with one another, and discover new research. Responsibilities: Research, develop and evaluate algorithms for use in Mendeley's software tools Demonstrate how well these algorithms perform when applied to real data Work with engineering teams to deliver algorithms in production environments What you'll be doing Identify, obtain and prepare data sets for training and testing algorithms Research, develop and evaluate algorithms for systems such as recommender and information extraction systems Build proof of concept prototypes demonstrating these algorithms in action Evaluate algorithms through controlled offline and online experiments Work with engineering teams to guide prototypes through to production, making reliable/scalable systems Manipulate large scale data (data cleaning, data normalisation, data linkage) Company: Elsevier Qualifications: What you should bring Strong research and development experience in industry and/or academia Hold an MSc, preferably PhD, in Computer Science Experience working with large graph/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments Strong presentation skills in communicating with experts and novices Language requirements: Fluent spoken and written English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom

We are the Text-to-Speech Research team and our goal is to improve the core technology to improve Alexa's voice and make it more human-like and expressive. We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us in beautiful Cambridge, UK. Our mission is to push the envelope in computer-generated speech in order to provide the best-possible experience for our customers As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the state-of-the-art in spoken language generation. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated speech. Position Responsibilities: - Research and implement novel Machine/Deep Learning approaches which add value to Amazon - Lead and Mentor junior engineers and scientists - Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications - Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering Company: Amazon Qualifications: BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Educational level: Master Degree Tagged as: Industry , Machine Learning , Master Degree , Parsing , Text-To-Speech , United Kingdom

About The Role At National Grid, we keep people connected and society moving. But it's so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT & Digital department. This is a hybrid role based in London. As a Lead Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations, and provision the necessary infrastructure in Azure. Key Accountabilities: Lead Machine Learning projects end-to-end. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team. Work with data scientists to understand their data needs and put together data pipelines to ingest data. Work with data scientists to take data science model prototypes to production. Mentor and train junior team members. Work with internal IT teams (security, Cloud, Global Active Directory, Architecture, Networking, etc.) to advance the team's projects. Enhance code deployment lifecycle. Improve model monitoring frameworks. Refine project operations documentation. Design, provision, and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. Write high-quality code that has high test coverage. Participate in code reviews to help improve code quality. Technologies/Tools we use: Python, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, SQL, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs. About You: Hands-on industry experience in some combination of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following technologies: Python ecosystem, Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well). A solid understanding of modern security and networking principles and standards. A foundational knowledge of Data Science is strongly preferred. Bachelor's or higher degree in Computer Science, Data Science, and/or related quantitative degree is preferred from an accredited institution. More Information: A salary between £80,000 - £95,000 - dependent on capability. As well as your base salary, you will receive a bonus of up to 15% of your salary for stretch performance and a competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%. You will also have access to a number of flexible benefits such as a share incentive plan, salary sacrifice car and technology schemes, support via employee assistance lines and matched charity giving to name a few. At National Grid, we work towards the highest standards in everything we do, including how we support, value and develop our people. Our aim is to encourage and support employees to thrive and be the best they can be. We celebrate the difference people can bring into our organisation, and welcome and encourage applicants with diverse experiences and backgrounds, and offer flexible and tailored support, at home and in the office. Our goal is to drive, develop and operate our business in a way that results in a more inclusive culture. All employment is decided on the basis of qualifications, the innovation from diverse teams & perspectives and business need. We are committed to building a workforce so we can represent the communities we serve and have a working environment in which each individual feels valued, respected, fairly treated, and able to reach their full potential. Company: National Grid Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)

This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis, and new product innovation. Provide data-driven analysis via statistical, quantitative, machine learning, programmatic, and heuristic methods. Relate statistical and other analytical results to real-world problems and explain the results to non-technical clients and colleagues. Heavy use of SQL programming and statistical packages is required. Analyse, understand, clean, integrate, and process complex/messy data. Execute and deliver standard analytics services efficiently and consistently. Be proactive, creative, and inventive to solve problems to enhance existing and develop new analytics-related products and services. My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem-solving abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: - Commercial data science experience - Machine learning - SQL - MSc or PhD preferred in either of the following areas: statistics, physics, mathematics, Computer Science, or Engineering - Creating customer segmentation models - Knowledge of SAS - Data Mining - R/Python - Proficient user of MS Office This is a superb career opportunity in the Data Science space. This company invests a tremendous amount of time and money on skills training and personal development, so it will be a huge opportunity to progress your career from a technical Data Science skills and personal growth perspective. Educational level: Master Degree

Job Band Job number 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent contract Location: London or Salford based Benefits An employer pension contribution of up to 10% 26 days' annual leave (based on full time hours) + bank holidays and the option to buy/sell additional days Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join staff networks including: Women's Network, National Disability Networks and many more. Family friendly flexible working arrangements, such as hybrid working, job sharing, flexitime and compressed hours can be requested. We welcome candidates from all backgrounds and especially welcome individuals from underrepresented groups. If you require any reasonable adjustments at any time, please let us know by contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play a key role in driving technical excellence and innovation. You will lead a team of machine learning scientists, providing mentorship and technical guidance while ensuring that the team's work aligns with business objectives. This is a hands-on role that involves active hands-on contribution. Interview Process Machine Learning system design interview Coding interview BBC culture fit and values alignment interview Responsibilities Provide technical leadership for projects involving fine tuning / alignment of large language models Lead the design and development of scalable generative language and multimodal models and algorithms. Mentor and guide a team of individual contributors, fostering a culture of excellence and continuous improvement. Set clear expectations and create a positive work environment, collaborating closely with engineering and management teams. Contribute to the AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are You the Right Candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in NLP. Strong programming skills in Python and familiarity with software development best practices. Excellent verbal and written communication skills. Passion for innovation. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours here. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here. Company: BBC Qualifications: Language Requirements: Specific Requirements: Educational Level: Level of Experience (Years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world. In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta's research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project. As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web. Company: Meta Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)

Mindgard is a London-based startup specializing in AI security. We've spun out from a leading UK university, and our mission is to secure the future of AI against cyber attacks targeting Deep Learning, GenAI, and LLMs. This is an unsolved challenge globally, and we are among the world's first to offer a solution to this rapidly growing problem. We've raised $4M from an excellent group of investors, released our first product offering: Mindgard AI Security Labs, and continue to build a team of engineers to join us on our journey. We're seeking a Research Scientist to join our R&D team, who is passionate about working on practical security problems within AI/ML. What You Will Be Doing Design, evaluate, and implement adversarial ML attacks and detection techniques. Work and collaborate with the R&D and engineering teams to push/translate adversarial ML techniques into production software for AI red teaming. Uncover ML security threats, analyze data and discover feature commonality. Engage in research collaboration, publications, and conference attendance. Keep the company updated on state-of-the-art research in adversarial ML. Who You Are PhD in Computer Science, with a specialization within AI/ML security and/or adversarial ML. An excellent track record of high-quality publications in top AI/ML or cyber security venues. We care about quality over quantity, and research that has industry application. Good programming skills in languages such as Python. Ability to supervise PhD students. We have a cohort of PhD students that you would have the opportunity to work and publish with. Optimism, kindness, and excellent communication skills. Ability to lead and contribute to research projects. Benefits Competitive salary 33 days vacation Flexible working options Learning & development budget Company equity Our Selection Process An initial call to help you get to know us better and to share more information about Mindgard and the role. A challenge related to the job. This will really help us understand your skillset and give you an idea of the type of things you will be working on at Mindgard. An opportunity to meet with a few members of the Mindgard team. An interview with our Co-founder. Offer Before you go, we want you to know! Studies have shown that some groups of people are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you don't meet all of the above criteria, but you think you'd be a great addition to Mindgard, we encourage you to apply as you might just be the candidate we hire. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. Company: Mindgard Qualifications: Senior (5+ years of experience) Tagged as: Academia , NLP , United Kingdom

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the Team Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. This position sits with our growing Traveler Voice and Content team. This position focuses on the development of Generative AI-powered Travel Discovery and Shopping experiences. The ideal candidate for this position is a true deep learning expert with strong knowledge and background in both recommender systems as well as Generative AI. Innovation and developing cutting-edge technology as well as implementing industry-leading solutions are key responsibilities of this role. The machine learning models and algorithms you develop will improve the experiences of millions of travelers and travel partners each year. What You'll Do: Conduct research and development in the following areas: Large Language Models (LLMs), Generative Retrieval, Sequential Recommender models, Mixture of Expert models, AI Agents and Multi-modal foundational models. Develop Deep Learning AI models with superior performance to power Expedia's Travel platform. Conduct analysis of the model performance using data collected from the field. Optimize existing models for improved accuracy and better performance. Produce novel insights with machine learning to advise company strategy. Communicate sophisticated concepts and the results of the analyses in a clear and effective manner. Who You Are: You have a Master's Degree or Ph.D. in Computer Science, Statistics, Math, Engineering or equivalent experience. You have experience in Generative AI and/or Recommender Systems, Deep Learning, Data/Machine Learning Science. You possess expert knowledge of Python programming language. You have a strong knowledge and expertise in PyTorch and/or TensorFlow. You have proven knowledge of processing and analyzing large scale data volumes, structured and unstructured data and near real-time throughput. Accommodation Requests: If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Company: Expedia Group Level of Experience: Senior (5+ years of experience) Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have practiced expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community. Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production. Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business. Required Qualifications, Capabilities, and Skills Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with industry or research experience in the field. Applied experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments. Curious, hardworking and detail-oriented, and motivated by complex analytical problems. Preferred Qualifications, Capabilities, and Skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development. Knowledge in search/ranking, Reinforcement Learning or Meta Learning. Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code. Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal. About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning. For more information about the MLCOE, please visit . To learn about how we're using AI/ML to drive transformational change, please read this blog: . The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Company: Chase- Candidate Experience page Level of Experience: Senior (5+ years of experience) Tagged as: Big Data , Industry , Natural Language Processing , NLP , Speech Recognition , United Kingdom