201 to 225 of 439 Machine Learning Jobs in London

to high value work that transforms customer experience. Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team and operating from various locations in Europe, North America, and India. We focus More ❯

Excellent visualization, presentation and communication skills You are a fast learner and are happy to work in an agile and fast-paced environment Bonus Points Experience with statistical and ML model creation and deployment Experience in regular game performance forecasting for FP&A purposes Experience/exposure to marketing & Performance marketing analytics Experience in using tools such as Amplitude, Tableau More ❯

BCG X, IT priorities to deliver firmwide scalable, reusable and compliant AI solutions. * * Leadership & Governance* * Lead and inspire a 250+ person multidisciplinary engineering organization, covering product engineering, AI/ML, UX, data and platform design. * Co-chair the AI Factory governance forum with the CPO, and represent the unit in global leadership forums. * Define operating principles, establish operational KPIs and More ❯

transportation, or location-based services Hands-on experience with data analytics tools (Amplitude, Tableau, and Google Analytics) Passion for or experience with designing using emerging technologies like AI/ML Background in fintech, payments, or financial services design Benefits Recharge your batteries Generous holiday policy: 25 days + bank holidays + managers have the ability to grant up to More ❯

following locations: San Francisco Bay Area, Seattle and London. Qualifications Bachelor's degree in Computer Science, Engineering, or related fields. Minimum of two years of industry experience in AI, machine learning, or related roles, with a track record of successfully implementing and deploying AI models in production environments. Proficiency in programming languages such as Python, and experience with … relevant libraries, toolchain and frameworks for AI model development. Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics. Familiarity with drug discovery processes, computational chemistry, or bioinformatics is desirable. Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in healthcare. Effective communication and collaboration abilities More ❯

and the chance to work in a genuinely innovative environment tackling problems rarely seen elsewhere. You'll join a world-class team in a business that values experimentation, continuous learning, and creative technical thinking, perfect for someone who thrives on staying ahead of AI breakthroughs and applying them in meaningful, real-world ways. To apply, send your CV through … the application process. Nathan Laidlaw at Transparent Technology will be in touch. Keywords: Senior AI Engineer, AI Research, Machine Learning, LLMs, Agentic Systems, LangChain, LlamaIndex, PyTorch, TensorFlow, MLOps, AWS, GCP, Azure, Sports Data, Sports Tech, London, Hybrid, AI Prototyping, Intelligent Agents, Automation Platforms, Python. More ❯

models Strong communication skills — equally comfortable with CIOs, compliance heads, and data architects Structured, proactive, and persuasive — able to distil core value from complex systems Preferred Background in AI, machine learning, data platforms, or graph technology Experience in regulated industries (shipping, energy, finance, supply chain) Ability to adapt commercial materials and pitch narratives to different personas Familiarity with … pioneering joint venture at the intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field. More ❯

development, and knowledge-sharing, collaborating closely with leadership to design projects and build strategic partnerships. Key Responsibilities: Lead Data Analytics (DA) bids, with particular focus on Monitoring, Evaluation, and Learning (MEL), for clients including Foreign, Commonwealth and Development Office (FCDO) and UK government partners. Develop innovative methodologies to address national security, humanitarian assistance, climate security, and conflict fragility. Engage … and software solutions. Expertise across the research cycle: design, instrument development, sampling, and data collection. Strong quality control, programming, and data engineering skills, including Microsoft Azure. Broad understanding of machine learning and AI approaches. Exceptional communication skills with experience producing user-focused reports and advising non-technical clients. Familiarity with MEL and REA contracts. This is a rare More ❯

development, and knowledge-sharing, collaborating closely with leadership to design projects and build strategic partnerships. Key Responsibilities: Lead Data Analytics (DA) bids, with particular focus on Monitoring, Evaluation, and Learning (MEL), for clients including Foreign, Commonwealth and Development Office (FCDO) and UK government partners. Develop innovative methodologies to address national security, humanitarian assistance, climate security, and conflict fragility. Engage … and software solutions. Expertise across the research cycle: design, instrument development, sampling, and data collection. Strong quality control, programming, and data engineering skills, including Microsoft Azure. Broad understanding of machine learning and AI approaches. Exceptional communication skills with experience producing user-focused reports and advising non-technical clients. Familiarity with MEL and REA contracts. This is a rare More ❯

recommendations.Key Responsibilities: Lead the implementation and integration of new BI systems (e.g., Domo). Collect, analyse, and interpret complex data for strategic business improvements. Develop algorithms and models for machine learning and predictive analytics. Create, maintain, and improve BI databases and reporting dashboards. Provide analysis on products, pricing, and markets to identify trends. Collaborate with stakeholders to streamline … get in return Enjoy hybrid working (one day a week in the office) 25 days holiday (+ bank holidays + 2 volunteer days) Summer/Winter early Fridays Comprehensive learning & development Private medical (post-probation) Generous pension (5% employer contribution) Life assurance Vibrant social calendar What you need to do now If you're interested in this role, click More ❯

footballers' legs. Ki's mission is simple. Digitally transform and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It's the fastest … Adherence: Follow ITIL‐aligned procedures, maintain accurate ticket records, and contribute to continual service improvement Knowledge Management: Create and update knowledge base articles, FAQs, and guides to support team learning and repeatability Collaboration: Partner with internal teams and external vendors to resolve escalations and ensure a consistent support experience Professional Development: Take ownership of growth through training, certifications, and More ❯

runtime systems, type systems, domain-specific languages, program synthesis, probabilistic programming, and programming languages for emerging areas such as quantum computing and AI. Systems, including distributed and operating systems, machine learning systems, networking, storage, cloud and edge computing, data systems, real-time systems, and high-performance computing. Security, including cryptography and post-quantum security, usable security and human … performance of colleagues Good leadership skills A willingness to undertake any necessary training and development activities for the role A commitment to high quality teaching and fostering a positive learning environment for students What we can offer you The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for More ❯

runtime systems, type systems, domain-specific languages, program synthesis, probabilistic programming, and programming languages for emerging areas such as quantum computing and AI. Systems, including distributed and operating systems, machine learning systems, networking, storage, cloud and edge computing, data systems, real-time systems, and high-performance computing. Security, including cryptography and post-quantum security, usable security and human … performance of colleagues Good leadership skills A willingness to undertake any necessary training and development activities for the role A commitment to high quality teaching and fostering a positive learning environment for students What we can offer you The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for More ❯

DevOps Experience designing and implementing secure systems Leadership experience Desirable Skills: Exposure to real-time data environments Interest in IOT, Electronics or wearable technologies Understanding of data science and machine learning principles Lead Solutions Architect - AWS Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do More ❯

DevOps Experience designing and implementing secure systems Leadership experience Desirable Skills: Exposure to real-time data environments Interest in IOT, Electronics or wearable technologies Understanding of data science and machine learning principles Lead Solutions Architect - AWS Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do More ❯

be: Lead Analysts through several projects Working on a large customer database Using analytics to understand customer interaction Build models and tools to use traditional and experimental techniques, including machine learning to gather insight Create and deliver presentations to key stakeholders Proven commercial experience as a Business Analyst. It is essential that you have proven experience with managing More ❯

matching techniques and the ability to deliver production-ready solutions where ground truth is unavailable. Key responsibilities include; Develop and optimise entity resolution models using Splink. Apply statistical and machine learning approaches to improve matching accuracy. Design scalable solutions for linking records across diverse datasets. Validate and document methodologies to ensure transparency and reproducibility. Collaborate with technical teams More ❯

Mercor is seeking software engineers to support one of the world's leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves real-world engineering work—including environment configuration, database design, and the creation of scalable APIs and service layers that interface with advanced AI models. More ❯

Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends Collaborate with team members to implement AI and machine learning models against user problems Close working with clients, building deep and sustainable relationships that positions you/us as their 'trusted advisor' You will be part of More ❯

you'll have genuine influence, work on high-impact projects, and develop your career within a collaborative and progressive environment. The Role: Develop, implement, and maintain advanced statistical and machine learning models for pricing and risk forecasting Support the delivery and enhancement of the model risk management framework within the Asset Risk function Collaborate with business SMEs to More ❯

you'll have genuine influence, work on high-impact projects, and develop your career within a collaborative and progressive environment. The Role: Develop, implement, and maintain advanced statistical and machine learning models for pricing and risk forecasting Support the delivery and enhancement of the model risk management framework within the Asset Risk function Collaborate with business SMEs to More ❯

and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech environment. If you'd like to be considered for this exciting Senior Data Analyst opportunity More ❯

Understanding of functional programming concepts (e.g. monoids, composition, higher-order functions) Familiarity with quantum computing concepts such as: Quantum circuits Measurements, observables Noise channels Error mitigation Error-correction Quantum Machine Learning Prior exposure to quantum SDKs (e.g., Qiskit, Cirq, PennyLane) and Quantum simulators. Hands-on experience with DevOps and infrastructure tools: Docker Cloud environments (GCP and AWS) CI More ❯

frameworks. Experience in ETL pipeline development (Matillion preferred) and Agile/Scrum environments. Knowledge of CI/CD pipelines, versioning (Bitbucket), and automated testing tools. Awareness of AI and Machine Learning integration concepts, including prompt engineering. Who You Are A strategic thinker who connects technical architecture with business value. Confident operating at senior stakeholder level and influencing key More ❯

with cross-functional teams to ensure project milestones are met. Ensure all appropriate reporting is in place. Leverage Microsoft’s AI-driven capabilities such as Copilot, Azure AI, and machine learning capabilities to enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem to improve our platform capability and leverage More ❯