25 machine learning scientist jobs found

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 an experienced Machine Learning Scientist - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think...

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 an experienced Machine Learning Scientist - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think...

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 an experienced Machine Learning Scientist - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think...

Location: London/Hybrid (Strong preference for 1 day a week in the office) Department : Engineering/Data Employment Type: Contract (B2B) Contract Length: 6 months (with potential for extension) About YLD: Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto. About the role: As a Data Scientist, you will take responsibility for data, insights, and models that help our clients grow quickly. You'll have Machine Learning Engineering experience and use this to build data capabilities that...

Job Title: Data Scientist Job Location: Canary Wharf (Hybrid- 4 days in office, 1 from home) Contract Length: Until 31/12/2026 Industry: Oil and Energy, Tech Working Hours: 8 per day/40 per week   Role Overview: Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders-to rapidly build and deploy AI solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust...

We are seeking a Data Scientist to join an established team delivering Artificial Intelligence solutions built on UKRI's data landscape. This is a hands on, delivery focused role, where you will work across the full machine learning lifecycle, taking models from initial prototype through to production and ongoing optimisation. The role contributes to the discovery, planning and implementation of AI initiatives driven by the Data Delivery Group, with a strong focus on practical, scalable outcomes.   As a Data Scientist , your main responsibilities will be to: Develop and implement machine learning algorithms and models. Translate data science prototypes into production ready machine learning systems. Design, build and maintain infrastructure to train, deploy and scale ML models. Preprocess, clean and prepare data to ensure suitability for model training. Extract relevant insights and features from complex datasets. Build and maintain data pipelines...

Location: EU based, GMT timezone Department : Engineering/Data Employment Type: Contract (B2B) Contract Length: 6 months (with potential for extension) About YLD: Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto. About the role: As a Data Scientist, you will take responsibility for data, insights, and models that help our clients grow quickly. You'll have Machine Learning Engineering experience and use this to build data capabilities that integrate well with software products. You'll...

  London, England, United Kingdom (Hybrid)   Contract (1 year)   Published 19 days ago Data Java artificial intelligence Python GCP Machine Learning Azure microservices Job Title: Data Scientist Job Location: Canary Wharf (Hybrid- 4 days in office, 1 from home) Contract Length: Until 31/12/2026 Industry: Oil and Energy, Tech Working Hours: 8 per day/40 per week   Role Overview: Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team...

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...

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction Create...

Job Title: Data Scientist Job Location: Canary Wharf (Hybrid- 4 days in office, 1 from home) Contract Length: Until 31/12/2026 Industry: Oil and Energy, Tech Working Hours: 8 per day/40 per week   Role Overview: Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders-to rapidly build and deploy AI solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications....

Who we are Billigence is a boutique data consultancy with global reach, helping organisations transform the way they work with data. We specialise in delivering high-impact data solutions across Business Intelligence, Data Engineering, Data Governance, Cloud Data Platforms, and Advanced Analytics. Headquartered in Sydney with offices across the UK, Europe, and APAC, Billigence partners with organisations to design and implement modern data platforms that drive better decision-making and business outcomes. Our teams work on complex, enterprise-scale data programmes across a variety of industries including retail, financial services, and technology.   About the role Billigence is supporting an agriculture-focused initiative that aims to apply advanced data science to real-world farming and supply chain challenges. We are looking for an experienced Data Science Advisor & Implementer with a strong background in agricultural modelling and analytics....

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...

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational data science problems...

Job Title: Data Scientist Job Location: Canary Wharf (Hybrid- 4 days in office, 1 from home) Contract Length: Until 31/12/2026 Industry: Oil and Energy, Tech Working Hours: 8 per day/40 per week Role Overview: Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders-to rapidly build and deploy AI solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflows-from data...

Company Description ReactWise is a seed-stage start-up located in Cambridge (UK) that offers powerful no-code software for optimizing chemical reactions. Using machine learning (ML) algorithms developed by the founders during their PhDs at the University of Cambridge, their software can significantly reduce process development time, bringing novel drugs to clinical trials much faster. Several chemical and pharmaceutical companies currently use our software - from start-ups to big pharma. As an early-stage start-up, we offer the opportunity to build software at the cutting edge of machine learning and chemistry, with short iteration cycles and autonomy to shape the software development process. Role Description We’re looking for a front end software engineer to join our small, fast-moving team in Cambridge on a 3-month contract. You'll work closely with our founders and software engineers to build appealing and intuitive user interfaces that help scientists run...

Please read the full job ad and consider the remuneration that is being offered for this role before applying.   Job Title: Head of AI Innovation and Development Location: UK – Remote Reports to: Managing Director Type: Part-Time Contract Role   Role Summary - Head of AI Innovation and Development (Marketing Focused) We are seeking a forward thinking, commercially astute Head of AI Innovation and Development to lead the integration of AI capabilities across our marketing services business. This role will be pivotal in shaping and delivering our AI vision, driving innovation in client campaigns, internal operations and service offerings. You will combine strategic insight, deep AI knowledge and hands on execution to future proof the business and deliver measurable impact for our clients.   Key Responsibilities   Strategic Leadership Define and own the business’s AI innovation strategy,...

SEARGIN IS HIRING!   As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate!   Currently, for the new Seargin project we are looking for Cyber Risk Analytics & Automation Manager.   Location: Onsite in London Form of employment: B2B Contract   The Cyber Risk Analytics & Automation Manager serves as the business product owner for cyber risk data, analytics, and automation capabilities used to drive risk-informed decision making across the enterprise. This role is responsible for developing and executing the product strategy and roadmap for cyber risk analytics,...

Job Title: Data Programme Manager Location: Any Deloitte office location outside London (e.g. Birmingham, Leeds, Cardiff, Manchester), travel to London is on an adhoc basis Duration: 12 months Contract Start Date : ASAP Day Rate: Competitive (inside IR35)   Deloitte Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. Role Purpose We are looking for a highly experienced and robust Data Programme Manager to lead a strategic programme focused on building an "AI-ready data landscape". You will oversee the implementation of various data tools, driving extensive...

Network Rail is at the heart of revitalising Britain's railway. From Crossrail - Europe's largest civil engineering project - to investment in world-class stations and major programmes of electrification, we are involved in some of the most ambitious and diverse ventures that this country has ever seen. We at Network Rail are dedicated to becoming one of Britain 's best employers and believe this starts with placing the candidate at the heart of everything we do!   As a Senior AI Governance Specialist you will lead responsible AI governance across the AIIA programme by defining and embedding risk management, assurance and compliance controls to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions.   As a Senior AI Governance Specialist your main responsibilities will be to:   Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and...