576 to 600 of 2,267 Machine Learning Jobs in London

Focus cameras at the edge. As a Staff Engineer, you'll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities for this role include: Define the technical direction. You'll set the tone for … technical capabilities required to stay ahead of challenges we'll likely encounter over the next 12-24 months. Own complex, high-impact AI/ML projects. You'll work across multiple business units, ensuring high-quality delivery that aligns with business goals. Define excellence. Through your example, you'll set … number of days you come to the office. Must-Haves A product focus. You have a proven track record of delivering impactful AI/ML products at scale. Leadership experience. You know how to coach and influence a team of Engineers in large organizations. Technical expertise. You have built, maintained More ❯

the Power/Natural Gas Market. Profile/Key Skills The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems, particularly in the power & gas business. The required expertise includes (but is … to): Natural Gas Modelling: Advanced experience with different forms of Power/Natural Gas modelling: Stack, Bid Offer, Interconnectors, Gas Storages and Pipelines Applied Machine learning techniques: Good to have latest applied machine knowledge to improve models Statistics/Mathematics: Data Quality Analysis, Data identification, Hypothesis testing More ❯

will collaborate closely with medicinal chemists, biologists, ADME and engineers to drive drug discovery using Recursion's cutting-edge Design Platform. Leveraging AI/ML, computational chemistry and drug design tools, you will help invent new medicines with unprecedented productivity. Beyond hands-on project work, you'll have opportunities to … to help you grow, learn, and make a lasting impact. In this role, you will: Design potential drug molecules using cutting-edge AI/ML, molecular dynamics, synthesis-aware generative design and active learning. Build and execute generative workflows, collaborating with medicinal chemists and biologists to refine and prioritize designs. … Excellent interpersonal, verbal, and written communication skills, with the ability to effectively engage both internal teams and external stakeholders. Strong interest in AI/ML and its application to drug discovery. Knowledge of pharmacokinetics and ADME data interpretation. Experience applying machine learning techniques for predictive modeling and generative More ❯

into the user experience to enhance engagement and retention. Optimise Through Machine Learning: Work closely with data scientists to refine and implement ML models that tailor notifications to user behaviours and preferences. Content Strategy Collaboration: Partner with Content Designers to develop engaging notification content tailored to drive user … interaction and improve chat engagement. Team Leadership: Work with a talented cross-functional team comprising data scientists, ML ops, backend and front-end engineers, and analysts to deliver on project goals. Execution Excellence: Maintain a high standard of execution to ensure timely delivery of initiatives, overcoming obstacles and ensuring team … alignment. Outcome 1: Increase user retention Ship an ML-powered notification recommender that delivers personalised, timely, insightful messages. Work cross functionally with DS and Engineering to ensure the recommender can scale and have an objective function that's aligned with user needs and business objectives. Provide direction for Content Designers More ❯

part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing … led decision-making. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter More ❯

part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing … led decision-making. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter More ❯

an agile software development environment. Ability to estimate task effort and identify dependencies. Excellent communication skills. Familiarity with Python and its data, numerical, and machine learning libraries. It would be great if you also had: Experience with Hadoop and Jenkins. Azure and AWS certifications. Familiarity with Java. What … the UK. What Makes Us Different: Purpose: Use your passion and skills at Leidos to keep people safe. We are at the forefront of machine learning, AI, cybersecurity, and solutions. Help build a safer world and inspire change. Collaboration: We offer flexibility to work from home, the office More ❯

CD and the setup of relevant pipeline and processes. Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud More ❯

technical skills in a supportive, high-impact environment while contributing to real-world change in health and life sciences. Being adaptable and open to learning is essential, as is bringing curiosity, attention to detail, and a collaborative approach to everything you do. Responsibilities The responsibilities and duties of the … role will include, but are not limited to: Technical development and deployment Develop analytical models and tools using Python and statistical or machine learning techniques to address business challenges. Collaborate with consultants to understand client needs and design appropriate data solutions. Create effective data visualisations and dashboards that … or regulatory environments. Familiarity with cloud platforms (e.g., Azure, AWS) and containerisation tools (e.g., Docker). Exposure to natural language processing or AI/ML techniques. Experience contributing to technical aspects of proposals or client pitches. Flexible Working We embrace a hybrid working model, combining the best of remote and More ❯

of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage. You will use various ML/AI/data science libraries and work on a variety of applications. You will get to use various state of the art technologies including … improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.). Develop computer models and perform predictive and prescriptive analytics for various applications. Build Proof … detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data Science, delivering machine learning models to production. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent. Proficiency in More ❯

Machine Learning Infrastructure Engineer 💰 Salary: Up to £45k 📍 Location: Central London – Hybrid/Onsite flexibility 🚀 Support high-performance AI and ML environments as part of a collaborative, forward-thinking tech team 💡 Your Role: We’re hiring a Machine Learning Infrastructure Engineer to support and optimise mission … solving technical challenges, and improving infrastructure reliability across complex environments. 💡 What You’ll Be Doing: Administering and supporting HPC systems used in AI/ML workflows Troubleshooting scheduled job queues and task automation issues Managing incoming service requests and incidents across end-user and infrastructure layers Leading user onboarding/… and solving problems proactively Enjoys creating simplicity from complexity Always looking to learn, improve, and collaborate 💡 Why This Role? Work on meaningful AI/ML infrastructure challenges Join a collaborative, high-performing support and engineering team Enjoy autonomy and ownership while contributing to visible improvements Flexible hybrid working in Central More ❯

Machine Learning Infrastructure Engineer 💰 Salary: Up to £45k 📍 Location: Central London – Hybrid/Onsite flexibility 🚀 Support high-performance AI and ML environments as part of a collaborative, forward-thinking tech team 💡 Your Role: We’re hiring a Machine Learning Infrastructure Engineer to support and optimise mission … solving technical challenges, and improving infrastructure reliability across complex environments. 💡 What You’ll Be Doing: Administering and supporting HPC systems used in AI/ML workflows Troubleshooting scheduled job queues and task automation issues Managing incoming service requests and incidents across end-user and infrastructure layers Leading user onboarding/… and solving problems proactively Enjoys creating simplicity from complexity Always looking to learn, improve, and collaborate 💡 Why This Role? Work on meaningful AI/ML infrastructure challenges Join a collaborative, high-performing support and engineering team Enjoy autonomy and ownership while contributing to visible improvements Flexible hybrid working in Central More ❯

between business needs and AI solutions. Responsibilities: Design, develop, and implement AI solutions using Microsoft AI technologies such as Azure OpenAI, LLMs & SLMs, Azure Machine Learning, Cognitive Services, and Azure AI Document Intelligence, with additional experience in Fabric, PowerBI, DataBricks, and LangChain. Work closely with clients to understand … in AI, Machine Learning, GenAI, or Data Science, with expertise in Microsoft AI technologies. Hands-on experience with Azure OpenAI, LLMs, Azure ML, Cognitive Services, Synapse, Fabric, and Power Platform AI capabilities. Strong programming skills in Python, C#, or other relevant languages for AI model development. Experience deploying More ❯

plans, they are now hiring exceptional talent to build out their Data team. Founded by industry experts, this fast-scaling London-based company leverages machine learning software to e-commerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven … tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with SQL (essential) and ideally Python, building code and models, and More ❯

plans, they are now hiring exceptional talent to build out their Data team. Founded by industry experts, this fast-scaling London-based company leverages machine learning software to e-commerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven … tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with SQL (essential) and ideally Python, building code and models, and More ❯

projects requiring document and data digitization through various NLP techniques where the developer works in close partnership with the R&D team involving new machine learning methodologies, setting the stage for STP and full automation of the various workflows and processes. Team members have the opportunity daily to … on the cutting edge. Or, join our core engineering teams and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration, and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile More ❯

and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply … suitably designing data architectures You have led client delivery across a range of projects for delivering data platforms, e.g. data analysis, ETL/ELT, machine learning pipelines/deployments, business intelligence reporting, data security. You have proven experience in their technologies You have developed data governance plans that More ❯

Data Science expertise, there will be no shortage of opportunities to apply and improve your skills. What You Will Do Hands-on contributor, applying machine learning methodologies to deliver data science … projects that allow the company to achieve its goals. Perform data analysis and modelling on large (Tb) data sets. Work with senior DS and ML engineers to productionise solutions. Analyse a wide range of data sources to identify new business value. Support measurement initiatives to demonstrate the efficacy of solutions … commercial experience, ideally in a data science role. PhD or Masters in a numerate discipline. Strong Python skills. Solid understanding of statistical modelling and machine learning/AI. Excellent interpersonal skills and the ability to explain complex topics to stakeholders. A problem-solving growth mindset with the ability More ❯

being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We're looking for a Junior Data Scientist with a growth mindset … and a solid grasp of data science fundamentals to join our world-class team at RAPP. You'll support senior team members in delivering machine learning and advanced analytics solutions for global brands like Ralph Lauren, KFC, and Mercedes. This role is perfect for someone at the start … from new tools and techniques to client domains and business challenges. What You'll Bring Must-Have: A strong foundation in statistics, probability, and machine learning fundamentals - either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas More ❯

technical expertise, problem-solving skills, and the ability to work collaboratively within a global AI-focused team. Key Responsibilities Develop and optimise AI and machine learning models, with a focus on NLP and Generative AI . Design, implement, and deploy scalable AI solutions using AWS services , including Athena … Conduct performance optimisation and fine-tuning of AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale language models. Proficiency in AWS … cloud computing , including Athena, SageMaker, and related AI/ML services. Experience in AI model optimisation, fine-tuning, and deployment in production environments. Strong analytical skills with the ability to solve complex AI-related challenges. What We Offer Competitive salary of £100,000 - £130,000 Remote-first role (UK-based More ❯

role you will sit within the NLP team and work on long term solutions for the Assisted Creation project by coming up with suitable ML solutions and thinking about/recommending the required data and data pipeline. We believe in ownership, so you will have sole ownership of your projects … product needs. As a result you will have the opportunity to shape the direction of the product. Furthermore you will be responsible for: Developing ML models, data processing pipelines, evaluation, and making sure that the solutions are deployable to the product. Evaluating your work, and leveraging our data pipeline and … open-source models. You have 5+ years of experience working in machine learning with experience in NLP. You have experience building performant ML based applications. Experience with CV and Diffusion models is a plus. Experience collaborating with Product Managers (cross team collaboration) And most importantly You have excellent More ❯

products Refresh existing internal and external input data sets, often sourced from surveys Source control figures from both industry and government sources Re-fit ML models on the latest data Follow QA processes throughout Produce updated documentation such as Process Documentation, Release Notes and Technical Guides Upload deliverables (outputs and … experience with any of the following tools: Visual Studio Code, Power BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis More ❯

products Refresh existing internal and external input data sets, often sourced from surveys Source control figures from both industry and government sources Re-fit ML models on the latest data Follow QA processes throughout Produce updated documentation such as Process Documentation, Release Notes and Technical Guides Upload deliverables (outputs and … experience with any of the following tools: Visual Studio Code, Power BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis More ❯

products Refresh existing internal and external input data sets, often sourced from surveys Source control figures from both industry and government sources Re-fit ML models on the latest data Follow QA processes throughout Produce updated documentation such as Process Documentation, Release Notes and Technical Guides Upload deliverables (outputs and … experience with any of the following tools: Visual Studio Code, Power BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis More ❯

Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable … for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. We … ideal candidate must demonstrate strong analytical & communication skills, attention to details, and a commitment to excellence. Key job responsibilities As a Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive in nature and More ❯