1 to 25 of 83 Machine Learning Scientist Jobs in the UK

clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. … levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements … take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence JPMorgan Chase & Co. London, United Kingdom NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence JPMorgan Chase & Co. London, United Kingdom … Apply now Posted 3 months ago Permanent Competitive NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Job Description NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning More ❯

Principal Machine Learning Scientist - Time Series Expert Join to apply for the Principal Machine Learning Scientist - Time Series Expert role at intelmatix Principal Machine Learning Scientist - Time Series Expert 1 day ago Be among the first 25 applicants Join to apply for the Principal Machine Learning Scientist - Time … worldwide. We are committed to transforming companies into cognitive enterprises by making our Decision Intelligence technology accessible and easy to integrate Job Overview Join our team as a Principal Machine Learning Scientist, with a special focus on time series analysis. This pivotal role merges cloud infrastructure, DevOps practices, and advanced machine learning to automate and … development of innovative solutions, driving our technological evolution with a focus on forecasting, predictive analytics and dynamic data modeling Key Responsibilities Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time series data Architect Time Series Machine Learning Pipelines: Create robust pipelines specifically designed More ❯

Principal Machine Learning Scientist - Optimization Expert Join to apply for the Principal Machine Learning Scientist - Optimization Expert role at intelmatix Principal Machine Learning Scientist - Optimization Expert 1 day ago Be among the first 25 applicants Join to apply for the Principal Machine Learning Scientist - Optimization Expert role at … businesses worldwide. We are committed to transforming companies into cognitive enterprises by making our Decision Intelligence technology accessible and easy to integrate Job Overview We are seeking a Principal Machine Learning Scientist with a specialization in optimization to join our dynamic team. This role is pivotal in merging cloud infrastructure, DevOps practices, and machine learning … on efficiency and problem-solving at scale. Key Responsibilities Develop Scalable Optimization Solutions: Craft scalable and adaptable optimization solutions that deliver tangible improvements and efficiencies, leveraging the latest in machine learning and operations research Prototype to Production: Collaborate with engineering teams to transition optimization model prototypes into optimized, scalable, and fully integrated applications that drive significant business value More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Job Description NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites applications for a role focused on applying sophisticated machine learning methods to complex tasks such as natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems. The ideal candidate will excel in a highly collaborative environment, working with business teams, technologists, and control partners to deploy solutions into production. A strong passion for machine learning, along with dedication to continuous learning, research, and … experimentation, is essential. Hands-on expertise in Deep Learning, analytical thinking, motivation, and a desire to innovate are also required. Job Responsibilities Research and explore new machine learning methods through independent study, industry conferences, experimentation, and knowledge sharing. Develop state-of-the-art machine learning models for real-world problems in NLP, speech recognition, analytics More ❯

businesses worldwide. We are committed to transforming companies into cognitive enterprises by making our Decision Intelligence technology accessible and easy to integrate. Job Overview: We are seeking a Principal Machine Learning Scientist with a specialization in optimization to join our dynamic team. This role is pivotal in merging cloud infrastructure, DevOps practices, and machine learning … on efficiency and problem-solving at scale. Key Responsibilities: Develop Scalable Optimization Solutions: Craft scalable and adaptable optimization solutions that deliver tangible improvements and efficiencies, leveraging the latest in machine learning and operations research. Prototype to Production: Collaborate with engineering teams to transition optimization model prototypes into optimized, scalable, and fully integrated applications that drive significant business value. … strong focus on optimization. Proven Experience: 5-7+ years in quantitative analytics, data modeling, or operations research, with a deep understanding of optimization techniques and their application in machine learning. Technical Proficiency: Expertise in Python and SQL, with significant experience using optimization libraries (e.g., PuLP, Gurobi, CPLEX). Preferred Qualifications: Leadership in Optimization Projects: Experience leading complex projects More ❯

Senior Staff Machine Learning Scientist, Operations Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank Senior Staff Machine Learning Scientist, Operations 2 days ago Be among the first 25 applicants Join to apply for the Senior Staff Machine Learning Scientist, Operations role … + Benefits | Hear from the team About Ops Data Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - delivering … award winning customer support - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track More ❯

analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients and colleagues. Heavy use of … abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining More ❯

Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're a proactive problem-solver with a passion for machine learning, we'd love … to meet you. The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment … and monitoring of machine learning systems. You'll immediately provide value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and More ❯

Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient … diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will …/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA More ❯

include Y Combinator, Accel, Lakestar and angel investors who were founders or executives of leading companies in London and San Francisco. About the Role We’re looking for a Machine Learning Data Scientist to join our team. In this role, you will design, develop, and deploy machine learning models to solve complex business problems, leveraging … models are scalable, accurate, and impactful. In this role, you will Work closely with our tax/accounting team to understand financial processes with our customers Design and implement machine learning algorithms to assist us with these processes Evaluate model performance using appropriate metrics and optimize for accuracy, efficiency, and scalability Collaborate with engineers to integrate ML models … into production systems Conduct exploratory data analysis to uncover trends, patterns, and opportunities for improvement Stay current with advancements in machine learning, AI, and data science methodologies to continuously improve processes and solutions Requirements for the role Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field (Bachelor’s with significant experience also considered More ❯

Research Scientist (Machine Learning), London London Research Scientist (Machine Learning), London We are here to advance human health, by re-imagining drug discovery with the power and pace of artificial intelligence. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are … multiple therapeutic areas and drug modalities. The company is continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Your impact As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to … we know it. Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep research experience whilst More ❯

Job Description About this job SRG are seeking a highly motivated and skilled data scientist to join our client and to focus on leveraging their proprietary platform to develop novel gene control systems for the cell and gene therapy space. As one of the first hires in this growing company, you will have the unique opportunity to help expand … handling and analysing Next- Sequencing (NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience) in data science/AI, computer science, bioinformatics or other related field. #J-18808-Ljbffr More ❯

story. We're looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission You will be part of a joint team of machine learning … with the success of our customers. In this role, you'll be: Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting, risk, cost-to-serve and cost-to-acquire modelling Building predictive models … to a production level adopting best practices for coding, deployment, monitoring, and experimentation. Your Story Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent) 5+ years of professional working experience Someone who thrives in the incremental delivery of high quality production systems Proficiency in Java, Python, SQL, Jupyter Notebook Experience with Machine More ❯

you At Cooper Parry, we're in it together . All we ask of our people is that they play all in . You'll continuously strive to keep learning - whether you're a trainee or a Partner - and you'll be brave , stepping out of your comfort zone to tackle new challenges. Above all, be nice . A … Programming skills in relevant languages such as Python, C++, R Knowledge of AI, APIs, RPA and other emerging technologies A deep understanding of the principles and best practice in Machine Learning for both supervised and unsupervised algorithms Deep understanding of principles and best practice in machine learning, with a focus on NLP especially in sequence labelling More ❯

Job Description Join the elite Applied Innovation of AI (AI2) team at JP Morgan Chase, strategically located within the CTO office. As a Machine Learning Specialist within the JPMC businesses, you will be responsible for addressing business-critical priorities using innovative machine learning techniques. You will work closely with stakeholders to execute projects that support the … growth of the business and explore novel challenges that could revolutionize the way the bank operates. Your role will involve applying advanced machine learning methods to a range of complex tasks, such as data mining, text understanding, anomaly detection, and generative AI. You will collaborate with business, technologists, and control partners to deploy solutions into production. Additionally, your … responsibilities will include researching new methods, developing models, and contributing to reusable code and components. Job Responsibilities: Research and explore new machine learning methods through independent study, attending conferences, and experimentation. Develop state-of-the-art machine learning models to solve real-world problems in Cybersecurity, Software, and Technology Infrastructure. Collaborate with partner teams to deploy More ❯

Research Scientist, Machine Learning, London Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach. We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital … and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture. Your impact As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to … we know it. Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep research experience whilst More ❯

researchers and scientists do their work. We've built a global research collaboration platform, reference management tool and open research database. The Role We are looking for a Data Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems that help researchers to organise … Experience working with large graph/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments … requirements: Fluent spoken and written English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom More ❯

digital advantages in demanding environments. We are seeking a senior researcher to join our expanding Data and Decision Support Capability. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and experience with relevant libraries and toolboxes. This role is within our Advanced Information Processing … partners and pursue personal research interests. The Data and Decision Support Capability encompasses teams working on AI/ML applications such as RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, image analysis, generative AI, LLMs, NLP, and graph ML. You will collaborate with multidisciplinary teams and engage in both technical challenges and customer-facing tasks. …/ML or statistical signal processing to sensor time-series data and decision-making. Experience in domains like RF communications, electromagnetic warfare, radar, acoustic processing, sensor fusion, autonomy, human-machine teaming, or space-domain awareness is highly desirable. Leadership experience in research project delivery is a plus. Typical Responsibilities: Lead technical project delivery and supervise junior researchers; prepare reports More ❯

community of colleagues is unified by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral … roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and … integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft More ❯

community of colleagues is unified by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral … roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and … integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft More ❯

as you drive the project from design to implementation. These duties are initial guidelines and may evolve over time to meet changing circumstances. KEY REQUIREMENTS Cooper Parry values continuous learning, bravery, and kindness. As a candidate, you should have: Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent experience. MSc or higher in Computer Science, AI … Data Science, or equivalent experience. Programming skills in Python, C++, R. Knowledge of AI, APIs, RPA, and emerging technologies. Understanding of Machine Learning principles, especially NLP and LLMs. Experience with open-source libraries like Matplotlib, Plotly, Python for data analysis. Experience handling large, complex data sets. Knowledge of project management, automation, and process optimization. Strong communication and stakeholder More ❯

you’d love to work in, even if you only have some of the experience listed below, please apply. Responsibilities Design, build and scale supervised ML models for active learning and Bayesian Optimization of materials synthesis and performance Implement best practices and innovate methods for uncertainty quantification Combine datasets of multiple fidelities and sources to power data-driven materials … ML literature, attending conferences, and developing relationships with key opinion leaders Report findings to stakeholders and leadership in written reports and verbal presentations. Qualifications Experience with uncertainty quantification, active learning and Bayesian Optimization Experience implementing, evaluating, and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets. … TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field Strong self-starter and independent thinker, with strong attention to detail Demonstrated More ❯

Social network you want to login/join with: An unique opportunity for an experienced Machine Learning Scientist to join a market-leading fintech and help shape customer experience with cutting-edge ML models. The Machine Learning Scientist will work across the full end-to-end lifecycle to create and deploy innovative ML solutions. … The role involves joining a growing, product-focused, cross-functional team working on key projects within a customer-facing application. Reporting to the Engineering Director, the Machine Learning Scientist will primarily focus on NLP and text-based models, as well as advanced classification techniques and demand forecasting. Collaboration with product and engineering teams will be essential to … execute tasks that have a real impact. Key Requirements: Strong experience in Python and SQL, with end-to-end machine learning expertise, emphasizing modeling and deployment experience. Skilled in NLP and text-based models. Experience working in product-driven organizations and cross-functional teams. Experience coding in Java and/or Golang is advantageous but not essential. Position More ❯

Social network you want to login/join with: Computational Biology & Machine Learning Scientist, shrewsbury col-narrow-left Client: Skills Alliance Location: shrewsbury, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Computational Scientist – Machine Learning & Immunology & Biologics … A cutting-edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design … and implement machine learning models—particularly language models, diffusion models, or graph neural networks —tailored to biomedical challenges. Build novel computational methods for interpreting biological sequences and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design More ❯