1 to 25 of 4,060 Machine Learning Jobs in London

Looking ForProven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment … numerate discipline. Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ML systems. A passion for mentoring and developing early-career data talent,Why Join CapcoDeliver innovative, high-impact data solutions for Tier 1 financial institutions. Work ...

professional judgement. What You'll DoLead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments. Develop and prototype ML models to solve complex business challenges using modern techniques and tooling. Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables … improve efficiency and accelerate insight. Guide and coach data science pods, supporting skill development and solution design. Act as a subject matter expert on ML architecture, model calibration, and productionisation, promoting responsible AI practices and scalable model governance where applicable. What We're Looking ForHands-on experience building and deploying ...

technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including … within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. ...

technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including … within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. ...

Data Science ManagerAre you an experienced Data Science leader with a passion for building and scaling AI/ML products? Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic … with Engineering teams to productionize AI solutions and drive operational excellence. Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners. Set clear goals, drive accountability, and support career growth and development. Lead performance management, coaching, feedback, and talent development activities. Foster a culture ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs ...

Posted Todayjob requisition id: R0121775# Data Science Manager## Are you an experienced Data Science leader with a passion for building and scaling AI/ML products Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using **LLMs, Generative … Engineering teams to **productionize AI solutions and drive operational excellence**.* Build, mentor, and lead high-performing teams of **Data Scientists and AI/ML practitioners**.* Set clear goals, drive accountability, and support career growth and development.* Lead performance management, coaching, feedback, and talent development activities.* Foster a culture ...

research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend … systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working with high ownership in a small, senior team, partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Desired Experience with designing ...

platforms. Contribute to model lifecycle management tooling: model inventory, workflow orchestration, approvals, periodic reviews, and audit-ready evidence generation. AI Enablement Implement AI/ML components within the model workflow, including LLM-based automation for model documentation generation and updating, intelligent data quality checks, and workflow assistance. Integrate AI tooling … into a controlled, auditable, production-grade environment, with appropriate testing, monitoring, and governance controls. Stay current with developments in applied AI/ML and evaluate their applicability to risk technology use cases. Collaboration & Standards Work within a cross-functional agile team alongside quants, validators, data engineers, and program management. Promote ...

speed, reliability, and operational excellence. Key ResponsibilitiesRapid Prototyping & Application Development: Lead the end-to-end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud-native services (e.g., serverless, containerization … managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams ...

Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user … management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable ...

conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling … experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As an ML Research Engineer, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/ ...

high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling ...

high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … experience. Required qualifications, capabilities, and skillsMasters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Specialism or well-researched interest in NLPBroad knowledge of MLOps tooling – for versioning ...

Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles … Points For Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ML systems. A passion for mentoring and developing early‐career data talent. Why Join Capco Deliver innovative, high‐impact data solutions for Tier 1 financial institutions. ...

years of industry experience across the globe. Sprytech has started an India office based in Mumbai and is working to establish an AI/ML driven cybersecurity and digital threat analytics centre to enhance the security of industry and government organisations. We are looking for an AI Application Developer … Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience in AI/ML model development and software engineering. Experience with end-to-end AI project deployment is highly desirable. Technical Skills Proficiency in programming languages such as Python ...

software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards.* Build and integrate AI and Machine Learning solutions into core XVA workflows — applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output.* Take … infrastructure as code.* Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus.* Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.This job description provides a high-level ...

software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows — applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take … infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows. This job description provides a high ...

research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend … systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working autonomously in a small, senior team, partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Experience with designing and refining large ...

Ph.D. in Computer Science, Software Engineering, or a related field, with 10+ years of experience in software architecture (including 5+ years in AI/ML systems). Proven track record of designing and implementing large‐scale, distributed AI systems. Deep understanding of AI and machine learning (natural language … processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Knowledge of big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB ...

development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation … deployment APIs & backend development — FastAPI, REST APIs, microservices architecture Vector databases & embeddings Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production Data handling Required — Experience & Mindset Demonstrated end-to-end delivery ...

development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation … deployment APIs & backend development — FastAPI, REST APIs, microservices architecture Vector databases & embeddings Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production Data handling Required — Experience & Mindset Demonstrated end-to-end delivery ...

QUALIFICATIONSBachelors, Master's or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7-8+ years of experience in software development, with significant full-stack web application development experience strongly preferred Experience working collaboratively with technical and non-technical … coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear ...

data engineering environments Implement observability and monitoring using tools like Databricks Workflows and related frameworks Contribute to AI-driven initiatives by leveraging Databricks ML/MosaicML to integrate Generative AI and LLM-based solutions Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering or related field Extensive … technical audiences Nice to have Experience operationalizing LLM or Generative AI workflows in Databricks pipelines Familiarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicML Knowledge of AI governance, security practices and enterprise integration controls Background in financial trading data or related domains Official Databricks certifications such as Certified ...

consulting companies and help leading organisations transform through data and AI. Accelerate Your Growth Work on cutting-edge projects with modern technologies including AI, Machine Learning, Cloud, and DevOps, while continuously developing your technical, consulting, and leadership skills. Be part of a diverse, international, and action-oriented team ...