901 to 925 of 2,927 Machine Learning Jobs in London

data modelling, data lakes, lakehouses, data warehouses and data integration. Experience with data governance, security, privacy and Microsoft Purview. Understanding of AI/ML and Generative AI data architectures. Proven experience leading technical teams and large‐scale transformation programmes. Strong client‐facing, communication and stakeholder‐management skills. Experience in consulting ...

Outlook, Teams, SharePoint), CRMs, HR systems and document stores, using OAuth and careful secrets handling. The AI experience You work with the AI/ML team to bring LLM-powered features into the product. You build the Python layer between the product and our AI services, including streaming responses, document ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that ...

Point72 is seeking exceptional machine learning researchers to join Internal Alpha Capture (IAC) and develop AI-driven trading signals using research, ML models, proprietary data, and high-performance computing. You will collaborate with senior researchers, manage the research process from ideation to evaluation, and publish novel signals … portfolio performance, with no prior finance requirement. Candidates hold a Master’s or PhD in ML, CS, or statistics, and excel in Python, Torch/JAX/TF, #J-18808-Ljbffr ...

interest and practical experience in applied AI or machine learning. Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.). Experience working with large-scale models (LLM/VLM) and deploying AI-driven solutions into production. Solid understanding of cloud … technologies, containerization, and building scalable AI applications. Ability to integrate AI/ML models into real-world applications, focusing on usability and performance. Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment. Familiarity with cloud-based platforms (AWS is a plus ...

Faculty is seeking a Senior Machine Learning Engineer … lead development and deployment of cutting-edge AI systems for government, finance, retail and other sectors. You will design, build and deploy scalable ML software and infrastructure that meets rigorous operational and ethical standards. This role requires deep ML lifecycle expertise, strong Python and software engineering skills, and experience with ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You’ll get: A learning journey that’s made ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You’ll get: A learning journey that’s made ...

readiness.## Your Skills and Experience* Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.* Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms, and intelligent automation technologies.* Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.* Strong problem … solving, analytical, and strategic thinking skills.* AI/Cloud certifications (Azure AI Engineer, Azure Solutions Architect, AWS AI/ML, Google Cloud AI, etc.).**Key Competencies*** AI Strategy & Vision, articulation abilities* Solution Architecture, solutioning approach, client communication* Generative AI & LLMs, SLMs, Industry trends, and AI project delivery expertise* Business ...

Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world’s largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid growth, the team is focusing expertise in key "Domains … contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations. As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries ...

design discussions and supporting client engagements with technical expertise. You will deliver end‐to‐end solutions, from building data pipelines and deploying AI/ML workloads to provisioning infrastructure and automating deployments through CI/CD. This is a London‐based role. Responsibilities Implement, deploy, and maintain Google Cloud infrastructure … maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer Implement and support AI/ML platforms on Google Cloud, including Vertex AI, Model Garden, and Gemini‐based tooling, contributing to Agentic AI solutions Support cloud migration and modernisation initiatives using lift ...

Expedia Group is seeking a Senior Manager, Machine Learning Science to lead a diverse team of data scientists and ML engineers across locations. You will set strategy, drive end-to-end ML initiatives, and ensure production-ready, scalable solutions for content AI including generation, moderation, and relevance. Beyond … technical excellence, this role requires strong stakeholder management, a focus on measurable outcomes, and the ability to translate business objectives into practical ML #J-18808-Ljbffr ...

methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business ...

London seeks a Senior Machine Learning Scientist to provide technical leadership for Search Marketing & Tech. You will own end-to-end ML solutions from problem framing to production, collaborating with engineering, product, and business stakeholders to deliver measurable impact. The role emphasizes building and deploying production-grade ML … models (tree-based, deep learning, RL) with robust pipelines, observability, and experimentation strategies to optimize bidding and ranking #J-18808-Ljbffr ...

Quantitative Trading & Research – Quantitative developer in the AI Market Lab, you will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure, creating reliable platforms that shorten the path from raw market data and research prototypes to monitored, resilient production strategies. We are seeking strong talent … engineering, mathematics, or a related technical discipline (or equivalent professional experience). Relevant professional experience in software engineering, quantitative development, low-latency systems, or ML infrastructure. Strong modern C++ skills in data structures, concurrency, memory management, performance profiling, and production debugging. Proficiency in Python and experience building software for quantitative ...

JD.com is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power our analytics and machine learning systems. You will work closely with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency across international markets. This role … reliability and compliance in a global context. Key Responsibilities Design and implement robust data pipelines and ETL processes to support analytics, reporting, and ML model training. Build and optimize scalable data storage and retrieval systems to handle high-volume, multi-market datasets. Ensure data quality, consistency, and compliance with regulations ...

ready deployments within Azure environments. Collaborate with analysts and business teams to translate analytical insights into practical outcomes. Evaluate new techniques in AI and machine learning, driving Movar's capability forward through experimentation and continuous learning. Mentor junior data scientists and contribute to knowledge sharing across the team. … applied machine learning. Strong understanding of Generative AI, LLMs, and RAG principles. Experience with data mapping, feature engineering, and end‐to‐end ML lifecycle management. Proficiency across Microsoft's Azure AI and data ecosystem, with an eagerness to adopt Fabric and other emerging technologies. A curious, pragmatic approach that ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi‐armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean ...

through data‐driven engineering practices. Mentor and support engineers across the organisation, promoting platform engineering best practices, technical excellence, and a culture of continuous learning and collaboration. Contribute to the long‐term evolution of the Platform and AI Engineering functions, helping balance operational excellence with innovation while enabling teams … influence technical direction, build consensus, and drive adoption of engineering best practices across multiple teams. Experience coaching and mentoring engineers, fostering technical excellence, continuous learning, and collaborative problem‐solving. Experience working effectively within global, distributed, or multinational engineering organisations. Excellent communication, documentation, and stakeholder engagement skills, with the ability ...

Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‐edge technologies like AI, Machine Learning, Generative AI, and Large Language Models ...

distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building and operating ML systems on cloud platforms Passion and determination Able to grind through complicated and ambiguous problems Delivery-oriented; respects timelines and commitments Openness to disagreement Onsite … technical guardian for the model's quality and Service Level Objectives (SLOs). Provide a hands-on solution architecture for the core ML infrastructure. Select, evaluate, and implement state-of-the-art technologies (e.g., distributed training, specialized hardware, efficient serving frameworks). Profile and optimize the end-to-end ML ...

applications, workflows, and AI-powered tools. Transform ideas and prototypes into scalable systems used by front-office teams. Work across data engineering, software engineering, machine learning, and cloud technologies. Drive adoption of modern engineering practices and emerging technologies. Translate technical concepts into business impact for non-technical stakeholders. … bias for action. Ability to work directly with business stakeholders and rapidly deliver solutions. Experience with cloud platforms, data pipelines, APIs, and AI/ML tooling. Strong communication skills and commercial mindset. Nice to Have Experience in financial services, quantitative research, trading, or investment management. Exposure to LLMs, AI agents ...

Depop Limited is seeking a Staff Machine Learning Scientist to join the Core ML team in the UK. You will design, build and scale foundational ML models and infrastructure to support product matching, image embeddings, and lightweight classifiers across Depop's marketplace. You will set the technical vision … lead high-impact initiatives, and mentor colleagues while collaborating with product managers, ML engineers and stakeholders to drive innovative, scalable solutions across multiple domains. #J-18808-Ljbffr ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead … tools and processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale ...

data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. Utilise the latest cloud based technologies and analytical tooling to support test-and-learn champion/… potential impact to our clients (i.e. addressing the "why" behind our decision making) What could set you apart Experience of developing AI/ML based fraud solutions and models Day to day use of G-Suite tooling, GCP and VertexAI Experience of working in a credit reference agency and/ ...