101 to 125 of 1,299 Remote Machine Learning Jobs

across all AI initiatives. AI Model Development and Deployment (Traditional & GenAI): Lead the development, training, and deployment of a variety of AI models, including but not limited to: Traditional Machine Learning models for tasks such as customer segmentation, optimisation and forecasting. Generative AI models for tasks such as knowledge agents, contact centre support models, itinerary builders, HR assistants … co-working space and property management company. Applicants must have eligibility to work in the UK. Requirements What You Bring A degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning or equivalent. Minimum of 3 years of experience in developing and deploying machine learning models, with experience across a range of AI techniques, including both … and practices, including data extraction, transformation, and loading (ETL). Solid SQL/BQ skills for data querying and manipulation. Extensive experience with Google Cloud Platform (GCP) AI/ML services is highly desirable (e.g. Vertex AI, Cloud Functions, BigQuery). Deep understanding of machine learning algorithms and techniques, including deep learning, natural language processing, computer vision More ❯

Senior Data Scientist – Media - London - up to £110k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like to join our team of 50 like-minded ML scientists and engineers who work with zero red tape to … create practical solutions that actually work. We’re looking for a Senior Data Scientist who has experience developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects. Who are we? We’re one of the UK’s largest media companies and we’re looking for a Senior Data Scientist to join our Data Science … with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have experience reviewing code for juniors colleagues, worked with Data Engineering, Machine Learning and non technical stakeholders. You’ll be comfortable assessing and determining how to optimize processes. What skills should I have? As our Senior Data Scientist you will More ❯

Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in … the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn … Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is More ❯

Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in … the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn … Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is More ❯

AI Engineer/Machine Learning Specialist with Data Engineering Experience Outside IR35 and Fully Remote - £300 per day - 6 Month Contract Intially Candidates can be base anywhere in the UK We are seeking a technically strong AI Engineer or Machine Learning Specialist to join a dynamic team working on cutting-edge Gen AI and data science … initiatives. The ideal candidate will have hands-on experience in developing and deploying machine learning models, working with large datasets, and applying AI techniques to solve real-world problems. A background in data engineering is highly advantageous, enabling the candidate to contribute across multiple areas of the project lifecycle. Key Responsibilities Design, build, and deploy machine learning … in model performance tuning, validation, and monitoring. Contribute to cross-functional projects, leveraging data engineering skills to support data ingestion, transformation, and integration. Stay current with advancements in AI, ML, and Gen AI technologies, and evaluate their applicability to ongoing initiatives. Ideal Candidate Strong experience in AI/ML development using Python, TensorFlow, PyTorch, or similar frameworks. Solid understanding of More ❯

impact of next-gen technologies — all while gaining hands-on experience that sets you apart in the job market. Responsibilities Support the design, testing, and evaluation of AI/ML models for fraud detection Analyse complex datasets to identify patterns, anomalies, and insights Collaborate with developers and data scientists to validate results and refine algorithms Assist in developing blockchain use … practical application in finance. Requirements Undergraduate degree in a technical field (e.g., Computer Science, Data Science, Mathematics, Engineering, Physics, or related) A strong and demonstrable interest in AI/ML and blockchain technologies - especially in their application to real-world business challenges Solid understanding of data analysis techniques and some familiarity with tools such as Python, SQL or Excel Excellent … Experience with Python libraries like Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools like Power BI or Tableau Benefits Fully funded, accredited qualifications Bespoke technical and business skills training A health cash plan 26 days More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is … tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models.This role will primarily focus on our US unsecured loans and credit cards business. … business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement. How you'll impact those objectives Learn the domain … team, learn from and contribute to the body of knowledge. Key Skills Experience using Python and SQL. Strong proficiency with data manipulation including packages like NumPy, Pandas. Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment. Self driven and willing to lead on projects/new initiatives. More ❯

adversarial attacks and enhance generalization performance by exposing the model to perturbed input examples during training. Supervised Fine tuning (SFT): Develop and execute SFT strategies for specific tasks. Reinforcement Learning from Human Feedback (RLHF): Run and refine RLHF pipelines to align models with human preferences. Pruning: Design and implement model pruning strategies to reduce model size and computational complexity … and deploy AI powered products. Contribute to the development of internal tools and infrastructure for model training and evaluation. Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field and 5+ years of relevant work experience or 7+ years of relevant work experience. Strong programming skills in Python and experience with deep … learning frameworks like PyTorch. Solid understanding of machine learning principles, including supervised learning, unsupervised learning, and reinforcement learning. Proven experience in designing and conducting experiments, analyzing data, and drawing meaningful conclusions. Familiarity with large language models, transformer architectures, and related concepts. Experience with data processing tools and techniques (e.g., Pandas, NumPy). Experience working with More ❯

world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. … interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning … Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have. ML and AI: Practical experience using ML modeling libraries like Scikit-Learn, Keras, Tensorflow, PyTorch and similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops … and manage version control using Git . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What You’ll Bring Essential Experience: Strong hands-on experience with Azure ML or Azure-based production environments. Proficiency in More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa … people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience … and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems and create areas for improvement Degree in Computer Science, AI, Big Data, or More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa … people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience … and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems and create areas for improvement Degree in Computer Science, AI, Big Data, or More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa … people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience … and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems and create areas for improvement Degree in Computer Science, AI, Big Data, or More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa … people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience … and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems and create areas for improvement Degree in Computer Science, AI, Big Data, or More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse More ❯

groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. … Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with … researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … networks on ARM's computing platforms and devising algorithms that will elevate us to the forefront of the future. Responsibilities: Develop an in-depth understanding of current and future ML workloads on ARM compute platforms with a focus on PPA (performance, power, and area). Engage in architecture exploration, requiring joint development of hardware, software, and algorithms. Serve as the … ML Algorithm expert within this process, including algorithm innovation and prototyping to drive and validate architectural features. Develop hardware-aware optimization algorithms capable of enhancing state-of-the-art networks on Arm platforms, including CPU, GPU, and NPUs. Required Skills and Experience: 3+ years of experience in ML Algorithm Development and/or Optimization environments. A Master's or PhD More ❯