151 to 175 of 995 Machine Learning Jobs in London

looking for a highly motivated Machine Learning Engineer to tackle challenging business problems using advanced machine learning techniques. This role involves developing prototypes, collaborating directly with customers, and working on cutting-edge AI projects. The ideal candidate will have a strong technical foundation, a Master … related field, and 1–3 years of experience in machine learning or AI research. Join a globally distributed team that values innovation and impact. #J-18808-Ljbffr ...

strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior … proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree‐based methods to advanced deep learning architectures. Practical experience with ...

Warner Music Group is seeking a Machine Learning Engineer to lead AI transformation efforts. The role involves developing advanced machine learning models and ensuring their reliable deployment into production systems. Candidates should have a relevant degree, 2+ years of experience in machine learning ...

leading travel technology firm in the United Kingdom is seeking a Machine Learning Engineering Manager to drive the development of innovative machine learning solutions. The role focuses on leading a team of engineers and scientists to deliver impactful AI systems. Candidates should have an advanced degree … quantitative field and experience in managing teams, alongside proficiency in Python and machine learning production practices. This role supports a hybrid work environment, emphasizing both professional development and team collaboration. #J-18808-Ljbffr ...

Software Development, you will oversee the architecture, development, and delivery of all software components, spanning web applications, backend systems, and Machine Learning (ML) infrastructure. You will also be a key partner to the heads of Hardware, Design Engineering, and Animal Science, ensuring software is seamlessly integrated with physical … team while collaborating with cross‐functional leaders to drive innovation. Responsibilities Technical Leadership Define, implement, and scale the software architecture across web, backend, and ML systems. Maintain strong engineering standards for code quality, security, testing, and deployment. Lead key technical initiatives, contributing code and architecture reviews. Drive integration of software ...

work today focuses on developing and deploying analytical tools and web-based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital … will play a key role in both hands‐on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute ...

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...

staying up to date on latest tools and methodologies. Provide subject matter expertise on key domain‐related topics such as advanced excel, SQL, machine learning, natural language processing, text sentiment analysis, mathematics, statistics etc. Enable the best‐fit implementation approach leveraging the core and evolving skills … domain of data analytics, e.g., machine learning, natural language processing, text sentiment analysis. Champion the value of analytics and data‐driven approach across Talent and provide thought leadership as required on the complete cycle of talent analytics. Design data & insights model to cater to data visualization ...

complemented by a strong understanding of statistics, particularly Bayesian reasoning, enabling accurate estimation and actionable insights. Technical toolkit includes experience with Bayesian approaches to machine learning, neural networks (ideally PyTorch), and a solid grasp of causal inference concepts, including their application with machine learning models. Proficient … achieve optimal outcomes in fast‐paced environments. Nice to Have but Not Essential An advanced degree (Masters/PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields. Experience within Financial Services or FinTech. #J-18808-Ljbffr ...

developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. … Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

renowned multinational company in the UK is looking for a Machine Learning Engineer specializing in Video Quality Analysis. In this role, you will design and implement algorithms to detect defects in video quality using advanced computer vision and machine learning techniques. The position emphasizes optimizing solutions … efficiency and reliability in near real-time environments. Applicants should hold a Master's degree in Machine Learning or a related field and possess experience with programming languages like Java or C++. The company offers immigration support and a competitive salary package. #J-18808-Ljbffr ...

culture values curiosity, accountability and clear communication across technical and non-technical teams. The Role Lead the research, development and validation of advanced machine learning models, including Generative AI and large language models. Design and deliver synthetic data and data augmentation solutions that enhance existing data assets. … science roadmap, setting best practice and technical standards. Your Skills and Experience Strong commercial experience as a Data Scientist working on end-to-end machine learning projects. Deep understanding of Generative AI, large language models and their application to text generation or data synthesis. Advanced Python skills within ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … needs of GS engineers. Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms) Provide technical guidance and support to other team members and stakeholders. Stay up to date with the latest industry trends ...

high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes. The Role You will join a blended Data Science … will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring. Key responsibilities include: Owning and delivering machine learning and AI projects from problem definition to production. Designing models from scratch across both structured and unstructured data use cases. Building ...

different surfaces in our app, including live streams, products, videos, and more. Learn about our users, explore the data and engineer powerful signals Deliver ML algorithms which significantly outperform our current heuristic models Make Tilt the world leader in real-time recommendations & agentic personalisation As an AI/ML engineer … business Rapidly onboard onto the existing recommendations system, identifying key improvements and implementing them Transition us from a scoring model to a more robust ML model Integrate novel new features and real‐time signals into the recommendation engine 3+ months Continue to ensure we are serving best-in-class recommendations ...

Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams … engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply ...

scientific R&D capability. This is a rare opportunity to join a rapidly growing, venture-backed business that combines advanced sensor technology, AI/ML, data science and chemical sensing to build products capable of detecting and interpreting biological and environmental signals in ways not previously possible. The company … limitations and deployment suitability Working closely with hardware and engineering teams on sensor integration Collaborating with data scientists to interpret sensor outputs and improve ML models Helping turn early-stage concepts into scalable commercial products Supporting the development of the company's growing sensing and AI platform Influencing future hiring ...

scientific R&D capability. This is a rare opportunity to join a rapidly growing, venture-backed business that combines advanced sensor technology, AI/ML, data science and chemical sensing to build products capable of detecting and interpreting biological and environmental signals in ways not previously possible. The company … limitations and deployment suitability Working closely with hardware and engineering teams on sensor integration Collaborating with data scientists to interpret sensor outputs and improve ML models Helping turn early-stage concepts into scalable commercial products Supporting the development of the company's growing sensing and AI platform Influencing future hiring ...

ML Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models … with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What Youll Work On ML lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines ...

Project Manager (Contract) – AI/Machine Learning Programme Hybrid (London, 2–3 days onsite) Up to £585/day (Inside IR35) Contract until March 2027 (likely extension) Start: ASAP Overview We’re seeking an experienced Project Manager to support the delivery of a machine learning proof … role to grow into wider AI transformation initiatives . What You’ll Be Doing Coordinate multiple stakeholder groups across diverse departments Manage integration between ML models and existing enterprise platforms Work with operational KPIs and dashboards at scale across a nationwide network Bring structure and clarity to environments where requirements ...

propose and deliver across our rapidly growing Financial Services Business unit. This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership. We’ll look to you to define a differentiated technical vision for clients across banking, insurance … other media Who we're looking for: You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector You have experience ...

Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability … analysis Run exploratory data analysis and turn it into questions which can be answered with analytical techniques Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems Communicate results clearly and effectively Take care of unclear and ambiguous requirements ...