1,501 to 1,525 of 2,945 Machine Learning Jobs in London

processes. We are looking for engineers with extensive experience investigating and analyzing online abuse, and actively implementing countermeasures. Our focus on data analysis and machine learning as well as our knowledge of the robust infrastructure of our back-end systems allows us to collaborate seamlessly with engineering, data ...

front-end technologies such as C#, JavaScript, HTML5, or Angular Knowledge of modern software architecture patterns and frameworks Interest or experience in cloud computing, machine learning, or data science Understanding of core computer science fundamentals, including operating systems, networks, data structures, and algorithms Experience partnering with traders, sales ...

acumen with a track record overseeing budgets, risk governance and influencing contractual terms Practical knowledge of modern data platforms, AI and Generative AI concepts (Machine Learning, LLMs, MLOps) sufficient to challenge and assess technical proposals Awareness of regulatory and ethical considerations in data and AI, including data protection ...

capable of engaging both technical and non-technical audiences. Desirable Skills Experience working in payments, fintech, or other technology-driven organisations. Understanding of AI, machine learning, or emerging technologies. Hands-on experience with technologies such as Rust, Kotlin, or TypeScript . Knowledge of cloud-native architectures , Kubernetes, DevOps ...

team with minimal guidance Clearly communicate in a timely and collaborative way Requirements Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Currently has or is pursuing a Bachelor's and/or Master ...

Pharma, Medtech, Healthcare and the technologies transforming them Experience with digital strategy, digital transformation, e-health, m-health, IT infrastructure & architecture, AI/machine learning, robotics/process automation, cloud, big data and analytics Ability to combine strategic and analytical insights with a passion for technology Proven experience ...

datasets A habit of writing production code, not just notebooks Nice to have SLR or GNSS data, including the CRD format Cloud data pipelines Machine learning for anomaly detection What We Offer A high-impact role with real ownership at an early-stage, venture-backed spacetech company ...

with 8th Wall or similar webAR engine 3D Optimisation : Exposure to Unreal, Blender or other 3D softwares AI experience : Knowledge or experience working with Machine Learning models/libraries (Tensorflow, Stable Diffusion, Claude, Gemini, OpenAI, etc) for AI-driven activations Our Culture and Perks We encourage close collaboration ...

professional services role. Experience with software development processes, building tools, and designing/creating scalable, distributed software systems (e.g., for data platforms, AI/Machine Learning, or infrastructure). Experience in planning and ensuring the adoption of complex, integrated cloud solutions. Proficiency in cloud computing, infrastructure, security, networking ...

drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Lead Technical Program Manager at JPMorgan ...

engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise ...

leading gaming company in London is looking for a Principal Data Scientist to lead high-impact data science initiatives. The role involves building machine learning solutions that drive player engagement and retention. Candidates should have a PhD or MSc and over 5 years of experience delivering data products ...

validate models and algorithms Publish research outputs such as academic papers or equivalent demonstrable contributions to quantitative research and documentation Exposure to AI and machine learning methods Use Python, R or Matlab for research and statistical work and use q or SQL to access and work with large ...

engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasetsin order touncover actionable insights and build effective strategies. By uniting deep marketexpertisewithcutting-edgetechnology, we excel ...

technical guidance and mentorship to junior team members Continuously evaluate and improve solution processes and tools utilizing the latest technologies, i.e. Agentic AI, Machine Learning Work closely with the clients and other project teams to ensure that the solutions align with the client's business objectives and meet ...

sure everything runs smoothly. We support our engineering teams so they innovate, build and ship great code quickly and confidently. Our expertise spans Data, Machine Learning, Incident and Risk Management, Hardware, and System Efficiency, all designed to foster an unparalleled Engineering Experience. The Role: We are seeking ...

Accenture's GenAI-enabled accelerators to work smarter across configuration, testing and documentation Get hands‐on with Workday's built‐in AI and machine‐learning features that support compensation processes Bring AI‐driven ideas to your project teams and clients Grow your skills as part of a practice ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About The Role We’re looking for an analytically-minded Senior Credit Risk Analyst ...

commercial landscape. Requirements Technical Grounding: Degree in Mathematics, Data Science, Computer Science, or a related quantitative field with a strong grounding in machine learning and statistics. Practical Experience: Proven track record (2+ years) of applying data science methods as part of end-to-end pipelines (feature engineering, model ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We’re looking for an analytically‐minded Credit & Commercial Manager ...

forefront of a new era in high-performance computing, developing full-stack photonic quantum systems designed to transform how organisations tackle machine learning, generative AI, and complex optimisation challenges. Headquartered in London, ORCA has delivered eleven on-premises quantum computers worldwide – demonstrating that its technology is not theoretical ...

audit‐ready. Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production). Support regulatory reviews and audits with strong product narratives. Delivery ...

infrastructure as code Engineering discipline: Git and version control, branching strategies, pull‐request workflows, and model and artefact repositories Practical familiarity with AI and machine‐learning tooling applied to real delivery problems, for example requirement interpretation, test generation and gap analysis, with a clear view on controls, traceability ...

commercial landscape.**Requirements****Technical Grounding:** Degree in Mathematics, Data Science, Computer Science, or a related quantitative field with a strong grounding in machine learning and statistics. **Practical Experience:** Proven track record (2+ years) of applying data science methods as part of end-to-end pipelines (feature engineering, model ...

infrastructure as code. Engineering discipline: Git and version control, branching strategies, pull-request workflows, and model and artefact repositories. Practical familiarity with AI and machine-learning tooling applied to real delivery problems, for example requirement interpretation, test generation and gap analysis, with a clear view on controls, traceability ...