Trabajos machine learning en , LondonCrear alertas

Interested in improving the technology and features powering Alexa? Come work on it. We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services’ mission is to provide high-quality labelled data for machine learning (ML) technologies. Key job responsibilities As Team Manager, you will be responsible for : • Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality, • Support hiring and training of new Associates, • Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis, • Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities, • Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies, • Track quality and utilization metrics, • File and track tickets, following up on blocks to productivity, • Provide regular, formal & informal feedback to direct reports, • Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean, • Communicate effectively in English A day in the life We are seeking an experienced team manager to join our operations in Cambridge to develop, manage, and support our Amazon Data Services team with Speech and language solutions. About the team The ADS team researches and delivers high-calibre multi-language Text-to-Speech technology, leading to voice quality and accuracy. • Bachelor Degree (Any Stream) or advanced college education or experience in a Leadership or related position with management., • Proficiency verbal and written communication skills in English, • Experience in understanding performance metrics and developing them to measure progress against key performance indicators, • Experience with process improvement/quality control tools and methods, • Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues, • Excellent communication, strong organizational skills and very detail-oriented, • Strong interest in hiring and developing people in their respective roles, • Leadership experience in coaching and performance management, • Experience in managing process and operational escalations • Experience with aspects of speech and language technology, • Fluency in a foreign language (German, French or Italian) is a plus, • Experience in practical application of methodologies such as Kaizen, six sigma, or lean 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 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 ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Note: This is a position for a fixed-term contract. AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities • Maintain and follow strict confidentiality as customer privacy is our biggest tenet, • Work with a range of different types of data including but not limited to text, speech, image, and video, • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, • Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation., • Ability to make logical decisions while performing tasks even when provided information is ambiguous., • Eye for detail and ability to pivot from one category of requirement to another instantaneously., • Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team, • Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions, • Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks, • Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations, • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. • An Associate’s Degree or related work experience, • CEFR C1+ or equivalent fluency in German language, • Written and spoken knowledge of English is essential (CEFR C1+), • Strong business writing skills with ability to create reports, proposals, and professional correspondence, • Advanced reading comprehension with ability to analyze complex business documents, • Developed analytical thinking and structured problem-solving capabilities, • Strong ability to interpret and implement detailed instructions across various projects, • Proficient research skills with experience gathering and synthesizing information from multiple sources, • Proven attention to detail in managing complex tasks and documents, • Bachelor’s degree in a relevant field, • Proven experience with demonstrated task execution ability, • Proven capacity to leverage open-source resources effectively for comprehensive research purposes, • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Proven project coordination or management experience (for support functions teams), • Experience managing stakeholder relationships across departments, • Advanced proficiency in Microsoft Office Suite and common business applications. 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 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 ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The successful candidate will design, implement, and manage data-driven trading models across global macroeconomic assets.The position requires deep expertise in statistical and machine learning methodologies, alongside robust programming and data-handling capabilities.Applicants should bring a veri

Engineering Manager / Tech Lead Manager. Not a fit for junior or first-time managers.

Learning about multiple asset classes and high-frequency trading.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Evaluate new large language models, tools, and AI engineering techniques. Proficiency in Python, TypeScript, or similar language and its environment.

Join one of the most advanced pricing teams in the market, leading cutting-edge R&D projects that push the boundaries of insurance pricing.You'll play a key role in developing sophisticated statistical models across Personal Lines, applying machine learning and data science techniques to improve pri

They're now expanding their security architecture function to bring in a senior specialist focused on AI and machine learning security,someone capable of shaping the future of secure, ethical, and compliant AI adoption across critical environments. This is a senior, strategic consulting role - drivi

One of the world's top market makers is expanding their Machine Learning and related AI teams.

You will combine data-driven research with cutting-edge trading infrastructure to design, implement, and optimise systematic strategies across global crypto markets.Research and develop high- and/or medium-frequency systematic trading strategies using statistical, econometric, and machine learning m

Entity: Supply, Trading & Shipping Job Family Group: Supply & Trading Group Job Description: Join bp’s LNG and Gas Trading team as a Long-term Market Strategist, to develop mid- and long-term market forecasts. The Market Strategist team is responsible for owning the groups global gas and LNG market outlooks and translating it into clear, actionable guidance for trading, investment, contracting, portfolio strategy, and risk management decisions. This role will support the Lead Market Strategist with the long-term global model update process, developing forecasts, and delivering deep‑dive analysis across a range of topics and regions. This role is oriented towards long-term commercial decision-making rather than trading activities. You will collaborate across origination, shipping, structuring and strategy teams to provide actionable insights for key commercial decisions. Key Accountabilities • Support global gas and LNG supply and demand balance creation and long‑run price views for mid‑ and long‑term horizons., • Run and support the global model update process; maintain assumptions and quality assurance., • Develop specialist forecasts and conduct deep‑dive analysis of a range of key market factors., • Understand pre‑FID liquefaction supply projects, costs and economic analysis., • Sense‑check global forecasts; reconcile differences and highlight implications., • Contribute to freight market analytics and understanding of net-zero developments., • Collaboratively develop modelling infrastructure and apply technology to advance bp’s digital aspirations., • Present insights at internal forums; collaborate across regions and commodities. Essential Education: • Hold a Degree in a quantitative, statistical, mathematical, engineering or similar discipline Essential Experience and Job Requirements: • 8–10 years in LNG and global gas market fundamental analytics., • Ability to analyze complex market dynamics and extract commercial insight., • Experience and understanding of fundamental economic forecasting principles., • Excellent problem-solving capability with strong attention to detail., • Ability to work independently or as part of an agile team. Desirable criteria • Quantitative skills; proficiency in Excel, Dataiku, and Power BI., • Experience using global gas balancing models., • Familiarity with origination and structuring activities., • Ability to communicate key themes and messages clearly and succinctly to various stakeholders., • Econometric modeling knowledge., • Experience working with large data sets., • Knowledge of other energy commodities., • Additional languages (ability to read and interpret business documents). Why join our team? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Analytical Thinking, Computational Thinking, Continuous Learning, Data Analysis, Data cleansing and transformation, Data Management, Data Sourcing, Data visualization and interpretation, Dialogue enablement, Exposure Management, Machine Learning, Macroeconomics, Market analysis methods, Market Risk Management, Sentiment and Trends, Statistics, Trade execution and management, Trading Fundamentals, Trading knowledge Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

My client is looking to hire a quantitative alpha researcher to work within their machine learning systematic trading team that currently researches, builds and maintains systematic trading models in the liquid futures space.

Bachelor’s, Master’s, PhD, or Postdoctoral degree in finance, computer science, mathematics, statistics, machine learning, physics, or a related scientific field.

Machine Learning/Data Science Quantitative Researcher - London/Paris. Their Quant Researchers develop and monitor strategies covering all liquid markets, including HFT/arbitrage, statistical arbitrage, CTA, Macro and event-driven models. The firm has a mandate for Quantitative Researchers who are sp

ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 6 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 19 global offices in North America, Europe, Australia, Singapore and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Descartes Underwriting is seeking a Senior Underwriter (Parametric Insurance) to join the Underwriting Team based in London. Reporting to the Underwriting Manager & Director of Descartes UK, you will be a key contributor to the development and deployment of climate risk models for the pricing, underwriting and monitoring of weather-related parametric policies for corporates and public entities. Your responsibilities will include : • Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts;, • Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients;, • Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation;, • Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide;, • Operate in the London market, leading discussions and projects with brokers and partners;, • Collaborate with various divisions of Descartes in order to sustain the growth of the portfolio (e.g. R&D teams, Legal, Operations, Risk Management), • Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements. ABOUT YOU EXPERIENCE & QUALIFICATIONS • Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related;, • 4 years of significant experience minimum (post graduation) in data science or related;, • As a plus: track record of experience in leading a (small) team and managing business projects;, • Proficiency in Python (e.g. pandas, scikit-learn);, • Strong background in statistics and mathematics, showing clear understanding of probabilities;, • Eye for quality, autonomous and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Interested in insurance industry and climate risks modeling;, • Strong team spirit;, • Ability to work under pressure;, • Eagerness to solve complex problems and technical challenges;, • Rigorous, creative and meticulous mind;, • Strong desire to learn and acquire responsibility;, • Results oriented with the ability to work in a fast-paced and multi-cultural environment. WHY JOIN DESCARTES UNDERWRITING ? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.);, • Work in a collaborative & professional environment;, • Be part of an international team, passionate about diversity;, • Join a company with a true purpose – help us help our clients be more resilient towards climate risks;, • A competitive salary, bonus and benefits. At Descartes Underwriting, we cherish value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2: In person or remote manager interview, • Step 3: Technical online test (via Github), • Step 4: Remote technical interview, • Step 5: In person team interview to meet our team and discover our offices

My client is a tech-centric prop trading fund, trading a wide range of financial products across the globe. The ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing new ideas to be incorporated with relatively little friction.

Senior Software Engineer with Python and Java Our Client is looking to recruit brilliant Software Engineer with upwards of 5 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go.We?re looking to recruit initially 2 excell

Collaborate with senior data scientists and consultants to identify client needs and develop data-driven solutions. Experience with data visualization tools such as Tableau or Power BI is a plus. Collect, clean, and analyze large and complex datasets using statistical methods and machine learning te

The Head of Operations will be responsible for ensuring that TLM runs smoothly and scales effectively. This role has the potential to evolve into a Chief Operating Officer (COO) position as TLM grows, offering the right candidate a pathway into executive leadership. Proven track record in operations

Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview GSK are looking for a Procurement Sustainability Data Coordinator to join the team at GSK HQ in London. This role will support supplier data transformation and ingestion into the Scope 3 model, enabling emissions reporting in collaboration with the central sustainability function. It will involve screening public data sources, improving machine learning algorithms for spend categorization, and enhancing emissions data quality. The role also supports KPI assurance, audit preparation, and development of EUDR compliance data strategy. Key Responsibilities • Execution of supplier data transformation and ingestion to Scope 3 model in collaboration with central sustainability function, to allow suppliers decarbonization data/ progress ingestion to GSK reporting (supplier specific emissions or GSK specific emissions transformation to meet the defined data standards and data quality checks, execution of data approval and ingestion)., • Efficient and effective public data sources screening for data GSK can use in supplier emission reporting, • Improve machine learning algorithms in cooperation with Procurement Data Team, to ensure correct spend categorization at entry stage to Scope 3 model, to improve emissions data quality and enable reduction through data improvement/re-baselining and allow better Procurement decisions in regards to future decarbonization interventions with suppliers, • KPI assurance - supporting preparation, audit and closing CAPA's for H2 2025 planned A&A Audit on Sustainable Sourcing and Deloitte audits on Paper/Palm and Sustainable Sourcing; - Supporting development and operationalization of EUDR compliance data strategy Role Complexity • Senior stakeholders facing and influencing (Director, Senior Directors, and occasionally VPs across Procurement Central Sustainability Team; potentially Tech and Finance)., • Global coverage and network, • Cross-functional dependencies and Procurement-wide dependencies., • Strategic program contribution., • Collaboration with peer companies., • Required stakeholder management and influencing competences and ability to work autonomously and seek for decision in the right moment of time. Qualifications & Skills • Demonstrated competence in data science, analytics, systems, and data assurance, including: Process setup and assurance, and data custodian responsibilities., • Proven ability to build robust data management processes, combining expertise in both data and Procurement, to support CO₂ reduction through improved emissions data. This includes: Aligning emissions data with the nature of spend, and defining process flows and ownership with Procurement processes in mind., • Basic to intermediate understanding of the environmental data landscape Key Deliverables: • Data assurance readiness for Procurement-delivered KPIs, • Data-driven support for compliance with key regulations, including EUDR, CBAM, CSDDD, CSRD. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. Develop, train, and optimize machine learning models for production use. Proven experi

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements?.Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them?.You’ll be joining a start-up whose fou

Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role/Project Overview At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled full stack engineer to help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. This fixed-term position is a unique opportunity to contribute to the development and evaluation of generative AI for drug discovery in a fast-paced environment, with a focus on impact and in collaboration with a large team. Our leaders will be committed to your career and development from day one. Key Responsibilities • Define and implement key safety metrics for generative AI (and in particular language) applications., • Perform user research to understand the application’s risks and failure modes., • Integration of AI/ML components with frontend, backend, data and compute infrastructure, • Responsible for high quality software implementations according to best practices and expected to participate in code reviews., • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products., • Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist., • Prior experience carrying out user research for software development., • Knowledge of generative AI and large language models., • Strong skills in Python, including development and testing., • Knowledge of agile practices and able to perform in agile software development environments., • Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub). Preferred Qualifications • Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)., • Prior experience conducting user research for AI applications., • Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations., • Web-based front end development experience. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Fantastic opportunity for a highly analytical and consultative CSM who enjoys driving actionable insights with enterprise brands.Highly sophisticated machine learning customer insights and automation.Trusted by global leaders in eCommerce & gaming.Offices in New York, London & more.High touch, data

We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. Junior Data Scientist – Master’s Graduate Role. You’ll collaborate with experienced data scient

Part-Time Mental Health Therapist (Hybrid: Remote and In-Person) Location: London, England, United Kingdom Our mission: to eliminate every barrier to mental health. Spring Health is the leading comprehensive mental health benefit for employers. We help employees understand their mental health issues and connect with best-in-class providers to get the right treatment at the right time. From early detection to full recovery, Spring Health is the only clinically validated solution in the market proven to be more effective than traditional mental healthcare. By combining the latest technology with vetted providers, we help engage 1 in 3 employees, reduce recovery times, and lower healthcare costs. We are an award-winning, passionate, and mission-driven team with the support of leaders in psychiatry. We are seeking qualified, part-time internationally licensed psychotherapists to join our provider network and deliver care with a tech-enabled, AI/machine-learning platform that puts patient outcomes first. What You'll Do • Provide counseling to clients with benefits ranging from short-term goal-focused EAP, to employer health plans allowing as many sessions as medically necessary., • Treat adults who have completed brief, evidence-based online screenings identifying their symptoms and areas of concern., • Preferably, also be open to treating additional populations such as children, adolescents, couples, or families., • Maintain a calendar displaying your availability and complete session documentation in a timely manner within our scheduling system., • Use evidence-based treatment modalities and interventions that are tailored to your client’s needs., • Collaborate with our dedicated provider support team, our licensed clinical care navigation team, and our administrative care support team whenever you need assistance., • Provide culturally competent and empathetic care, upholding our values of diversity and inclusion for all races, ethnicities, and genders. Who you are • You are properly qualified (licensed, if applicable) to practice counseling (as a Psychologist, Psychotherapist, Clinical Psychologist, etc.) in the UK. We are not able to accept applications from anyone requiring clinical supervision., • You have a minimum of 3 years of independent clinical experience., • You have access to a computer or laptop, are comfortable with technology, and are tele-health competent, • You are available to offer some amount of monthly in-person availability for Spring Health members in London., • You have training and experience in evidence-based modalities of care such as CBT, DBT, EMDR, ACT, CPT., • You are comfortable with providing safety planning and intervention during situations where a client might present with higher risks., • You are committed to quality clinical care and want to expand your capabilities and increase your effectiveness by being informed of client progress or challenges., • You like working independently, but would also enjoy having the support of a team and opportunities for connections and collaboration with other providers and our master’s level clinical care navigators. If you are applying to a hybrid role, please be aware that your own office space will be required. Why you'll like working with Spring Health • You’ll set your own schedule to fit your professional and personal needs., • Work from anywhere, as long as you have a confidential, private location with stable internet., • No need to spend time marketing your practice, checking insurance eligibility, collecting fees, or submitting claims---we take care of the administrative work so that you can focus on clinical care., • Grow your ability to provide effective care through feedback from evidence-based measures that help you identify what is working with your clients., • Join a dynamic community where you will be supported, your work appreciated, and you’ll have the opportunity to help us shape the future of mental health care! In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously: Members Come First We are genuine member advocates. Move Fast to Change Lives We build with urgency and intention. Take Ownership We extend trust and hold ourselves accountable. Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences. Science Will Win We will achieve impact by innovation and evidence based frameworks. Candor with Care We are open, honest and empathetic. Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Use a rigorous scientific method to develop sophisticated investment models and shape insights into how the markets will behave.Apply quantitative techniques like machine learning to a vast array of datasets.Create and test complex investment ideas and partner with our engineers to test your theorie

Python is their go-to language for data analysis, visualization and machine learning; you'll join the team responsible for the tools that support the Python work, such as CI for test running and static analysis and automation around the deployment of Python environments & apps. Substantial Python to

Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in:. The successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. Founding Mac

Senior Software Developers/Engineers with Python, Terraform and Go Our Client is looking to recruit brilliant Software Developers/Engineers with upwards of 7 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We?re loo

The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives.

An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning.

Machine Learning Engineer (MLE). If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Academic or industrial research experience in machine learning, especially proba

A leading quantitative hedge fund specialising in high-frequency strategies across global equities, futures, and options markets.The firm is a building a specialist, ML-driven HFT team covering equity and futures markets.Design, build, and backtest machine learning models to generate alpha in low-la

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Backend Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the backend stack, real-time data flows and APIs on a backend designed for scale & flexibility. Responsibilities: • Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources., • Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients, • Model and manage structured and semi-structured data across storage layers, • Integrate AI-driven personalisation and real-time insights into user flows, • Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: • Built modern full-stack applications w/ focus on backend (Python/Java/Go), • Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object), • Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Nice to Have: • Experience in frontend development (eg. Javascript, Typescript, React.js), • Worked with real-time data collection and/or processing, • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. Driving the machine learning strategy and building best practices from the ground up.

R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. Senior Machine Learning Engineer – Robotics. Training policies via representation learning, behaviour cloning & RL from data to deployment.

Ability to manage and optimize large-scale cloud infrastructure. ML & Cloud Infrastructure Engineer. ML & Cloud Infrastructure Engineer.

Data Product Manager - AI / ML Platform (Fully Remote, UK) Salary: £100,000 + benefits Location: Fully Remote (occasional meet-ups in London) Type: Permanent | Individual Contributor We're partnering with a market-leading AI-driven search intelligence company helping global enterprise brands optimise paid search performance and gain competitive insight through large-scale data and machine learning. As a Data Product Manager, you'll take ownership of the company's data platform and ML ecosystem - shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights. The Opportunity You'll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data engineering and data science teams. This is a hands-on product role - ideal for someone who thrives at the intersection of data, ML, and product strategy. Focus areas: * Data integrity, scalability, and cost efficiency * Managing complex data workflows and ML pipelines * Ensuring model quality and performance * Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI / ML Use Cases: Predictive click models, data quality optimization, GenAI search applications What You'll Bring * 5-10 years' experience overall, with 3+ years in data engineering or data science * Proven experience managing large-scale data platforms or pipelines * Strong understanding of ML workflows and data architecture * Product mindset - comfortable owning discovery, roadmaps, and delivery * Excellent communicator - able to present technical concepts clearly to non-technical audiences * Experience in SaaS, digital, or tech product environments (Please note: This role is not suited to project managers or senior people managers - it's a highly collaborative IC role.) Why Apply? You'll join a collaborative, data-focused product team that values ownership, transparency, and smart execution. You'll have a genuine opportunity to influence the evolution of an AI platform used by leading brands worldwide. Next Steps: If you're a technically credible Product Manager passionate about data and ML - and ready to own a data platform roadmap in a high-impact environment - we'd love to hear from you.

A leading global hedge fund is looking to speak with Machine Learning researchers from any industry background who might be interested in applying their expertise to the trading domain.

Lead Machine Learning Engineer. Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles.

🌍 Data Scientist – Climate & Energy Tech | London (Hybrid) Are you a Data Scientist who loves seeing your work in production? A fast-growing startup is building the software backbone of a decarbonised energy future — and they’re looking for someone who wants to use data and code to make a tangible impact. Their platform intelligently shifts energy use to when electricity is cleaner and cheaper, controlling EV charging, heating systems, and home batteries. Behind the scenes, their machine learning models forecast demand and manage tens of thousands of energy assets in real time. Backed by top investors and growing fast, this is a rare chance to: ⚡ Take high ownership and help shape a collaborative, engineering-first culture 🧠 Tackle hard technical problems with both commercial and environmental impact 💬 Be directly involved in product and engineering decisions What you’ll do: • Write production-grade Python code and ship fast, • Design and deploy models for prediction and real-time optimisation, • Collaborate cross-functionally — from Figma prototypes to live deployments If you’re ready to use data science to fight climate change while building cutting-edge tech, this is the role for you. 👉 Apply now and be part of the energy transition.

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on the cutting edge of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. Responsibilities: • Design automated test frameworks for optical networks using Python, C++, • Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes., • Engineer optimisation algorithms as part of the test framework platform and metaheuristic algorithms, • Support across the validation of testing, and analysis of data for improvement, • Collaborate with cross-functional teams of hardware, software, embedded and electronic engineers. Skills: • Software scripting and Automation experience using Python, C++, C#, • Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation., • Understanding of cloud-based environments and data pipelines., • Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you? • Up to £80k DOE, • Lucrative stock options., • 25 days holiday + bank holidays., • Hybrid working., • Relocation assistance., • Visa sponsorship provided.

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Some experience in backend system development (ideally using Golang). As a Safe Intelligence Front End Software Engineer, you will:.

Research Engineering Manager Location - London / Hybrid (3 days onsite, 2 days remote) What are we looking for: MicroTECH Global are looking for unique people for a distinctive technology. Are you a Research Engineering Manager, who has a passion for technology, with a love to lead cutting-edge new research ideas that shapes the future of Technology? We are seeking a driven and experienced Technical Manager to lead our clients research group. You will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML Applications & algorithm optimization for both performance and visual quality. About the company: MicroTECH Global are working with a company who are at the forefront of parallel data compression, with deep expertise in AI, data compression & XR (extended reality) They have developed multiple award-winning software products that are transforming industries such as TV, Live event production, Entertainment, Social Networks, Media, Aerospace, Automotive & Gaming They achieve their goals by keeping our innovation cycle as agile and flexible as possible, with continuously testing and challenging assumptions. Thanks to the unique technology within the in-house testing facilities, they quickly pass from ideas to implementations. Responsibilities: As a Research Engineering Manager, you will: • Leadership: Manage the day-to-day activities of the Research Group, ensuring timely project delivery, team performance, and recruitment of top talent., • People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns., • Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions., • Documentation: Create and maintain technical documentation, including project reports, white papers, and intellectual property (IP) capture, • Process Improvement: Continuously enhance the Research Group’s processes and tools, driving efficiency and quality across the department. Background and Experience: • Passion for Research: A deep enthusiasm for advancing research in a dynamic environment., • Pragmatism: A passion for hypothesis-driven innovation, enabling rapid cycles of iteration and fast-tracked delivery of Minimum Viable Products., • Technical Expertise: Experience in designing and developing data compression solutions, AI/ML technologies, and/or C++ development., • Leadership Skills: Proven ability to manage and mentor a skilled team, driving projects to completion within commercial deadlines., • Communication Skills: Excellent written and verbal communication, including technical documentation and project reporting., • Flexibility: Ability to thrive in an innovative, cross-functional environment where initiative and adaptability are key., • Deep understanding of data compression technologies, including lossy/lossless compression, quality metrics, and colour spaces., • Knowledge of the end-to-end software development lifecycle, with experience collaborating across teams., • Proficiency in Python and C++ software development., • Experience with parallel processing programming., • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques., • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI., • Experience in Intellectual Property development., • Experience presenting research findings at conferences and within video-centric forums., • Contribution to standard-developing organizations (SDOs)., • Experience with Agile development methodologies and tools like JIRA., • Proficiency in software development tools such as GIT.

SENIOR BACKEND ENGINEER UP TO £80k + BENEFITS HYBRID ROLE - 1 day a week in office LONDON Are you looking to take ownership of backend systems in a role that offers great benefits, hybrid working, and the chance to work with modern cloud technologies? THE COMPANY This fast-growing organisation operates in the digital space, delivering innovative technology solutions that drive real business impact. They are expanding their engineering team and investing in cutting-edge products that leverage data, automation, and scalable cloud platforms. THE ROLE As a Senior Backend Engineer, you'll be responsible for building and maintaining scalable systems and services that underpin the company's technology strategy. Key responsibilities include: • Designing and delivering backend software solutions aligned with the engineering roadmap, • Supporting solution design, infrastructure setup, testing, and maintenance, • Ensuring services remain robust, secure, and up-to-date with user feedback and evolving requirements, • Building new features and optimising existing systems for performance and scalability, • Upholding engineering best practices across cost efficiency, compliance, and quality, • Collaborating with cross-functional teams and communicating effectively with both technical and non-technical stakeholders. YOUR SKILLS AND EXPERIENCE The successful candidate will have: • Strong proficiency in Python, with scalable, maintainable, test-driven development (TDD), • Experience designing, deploying, and maintaining systems on GCP or AWS, • Solid understanding of CI/CD pipelines (GitHub Actions) and Docker, • Hands-on experience with RESTful APIs (Django/DRF or FastAPI), • Experience with Generative AI / LLMs, • Knowledge of different database types (SQL, NoSQL, graph, document), • Infrastructure automation (Terraform, CloudFormation, AWS CDK), • Exposure to front-end technologies (TypeScript, Vue.js or React) for effective collaboration with frontend teams, • Cloud platform certifications THE BENEFITS The successful Senior Backend Engineer will receive: • Salary up to £80,000, • 25 days holiday (+ option to buy 5 more), • Annual performance-based bonus, • Enhanced family leave, life assurance & income protection, • Medical cash plan, health & wellbeing contribution, • Sabbatical options and referral bonuses, • Railcard & season ticket loan, Ride to Work scheme, • Home office equipment support, • Free lunches and office perks, • Learning & development support with access to training platforms, • Regular team socials and holiday celebrations This is a fantastic opportunity for an ambitious backend engineer who wants to build impactful systems, shape engineering best practice, and grow within a forward-thinking tech environment. Desired Skills and Experience Python, FastAPI, Flask, Django, LLM, AI, Artificial Intelligence, ML, Machine Learning