1,101 to 1,125 of 2,914 Machine Learning Jobs in London

Operations and Performance Analysis with AI Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. … Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build reporting ...

improvement.* Support vendor evaluation and strategic technology partnerships where appropriate.**What You Bring*** Significant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines.* Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments.* Strong understanding … Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities.* Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data-driven product development would be highly beneficial.* Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

across the firm. Take the next step in your career. Responsibilities We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team. This is an exciting role. You will develop green‐field solutions to meet highly … complex ML interdependency requirements. Where off‐the‐shelf tools fall‐short, you’ll build custom solutions to define best practice across quantitative research. Future Projects Implementing best practice feature and model stores Properly versioning features, data and models Improving inference compute utilisation via model serving CI/CD for ML ...

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 ...

highly technical and hands‐on, comfortable writing Python and doing model and data iteration yourself, not just directing others You've delivered deployed, production ML models, ideally in robotics or autonomous vehicles, with experience shipping and iterating on ML for embodied AI applications Alternatively, you've productionised ML models … automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment ...

/ELT tools such as Fivetran or Airbyte Experience designing and operating production data pipelines, including CI/CD practices for data and ML workflows Strong engineering fundamentals: version control, testing, monitoring and documentation Comfortable working directly with AI coding assistants (e.g. Claude, Claude Code, GitHub Copilot) as part … deterministic or probabilistic matching pipelines Experience with event streaming architectures (e.g. real‐time ingestion, sub‐second/sub‐minute latency pipelines) Exposure to productionising machine learning or forecasting models (e.g. XGBoost, AutoGluon, Meridian, Robyn) built by data scientists Experience with reverse ETL and activation into media ...

build computational pipelines for processing, validating, and analysing biomedical data for use in Sable platform models and features. Develop and apply statistical or machine‐learning methods to quantify and prioritise biological risks. Interpret results in a biological and translational context, with a focus on supporting drug discovery decision … good software and data‐engineering practices. Requirements We are looking for self‐motivated individuals who can take ownership of projects, with enthusiasm for continuous learning and professional development. PhD or MSc in Computational Biology, Bioinformatics, or related field or BSc with 3+ years of relevant experience applying computational methods ...

Machine Learning Engineer to deliver bespoke AI solutions for diverse clients in the Energy, Transition and Environment space. You will bring ML out of the lab into production, shaping scalable software architecture and best practices while working with clients and cross-functional teams to ensure feasible, timely delivery … high-quality ML systems. You’ll lead technical scoping, advise on deployment at scale, and translate complex ML concepts for stakeholders, contributing #J-18808-Ljbffr ...

should be enthusiastic and willing to learn new things. Bonus Qualifications Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. In return for your expertise, we’ll support you in this new challenge with coaching & development every step … scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. ...

remain properly invested. Across 27 cities, our team of 4,600 agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions. When you work at JPMorgan Chase & Co., you’re not just working at a global financial … technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $11bln+ annual investment in technology enables us to hire people to create innovative solutions that will not only ...

data mesh principles, federated governance, and scalable domain‐oriented data ownership models Experience designing platforms and architectures to support AI‐native use cases, machine learning systems, agentic workflows, and intelligent software platforms Strong understanding of real‐time and event‐driven architectures, including streaming data systems and low‐latency … orchestration, governance, and scalable data product design Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling Strong commercial acumen and ability to engage credibly with senior technical and business stakeholders Experience leading major ...

Requirements A data science background with hands-on experience building, training, validating, or deploying machine learning models, gained as a data scientist, ML engineer, or in a closely related technical role. Experience with, or strong interest in, AI/model governance, model risk management, or a related risk … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront—from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

Define the architectural vision for Superscript’s data platform, ensuring it scales with our business and supports diverse use cases including BI, ML, and real-time analytics. Write and review high-quality, production-grade code in Python, SQL, and IaC (Terraform) that sets the standard for engineering excellence. Design …/CD, testing frameworks, version control (Git), and containerisation (Docker/Kubernetes). Strong background in data modelling, warehousing, and supporting analytical and ML workloads. Exposure to MLOps tools including MLFlow, kedro and Amazon Sagemaker. Development and maintenance of real time products like APIs using FastAPI/Flask. Operates autonomously ...

Creandum is looking for a Staff Machine Learning Engineer to build and scale ML systems for content understanding across audio, video, text, and images. In this pivotal role, you will develop models to enhance content quality and safety, ensuring high-quality experiences for users. This position offers flexibility ...

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer at JPMorganChase within AMDP (AIML Data Platforms), you are ...

Contribute to the continuous improvement of support processes and best practices Qualifications Required: Proven experience in a technical support role, preferably in AI/ML or data analytics Familiarity with cloud platforms (e.g., Azure, AWS) and deployment tools Excellent problem-solving and analytical skills Strong communication and interpersonal skills, with … with enterprise companies, sports teams, or in the sports industry Experience working with real-time audio and video technologies Strong understanding of AI and machine learning concepts and technologies Competitive salary and performance-based bonuses Opportunities for professional development and career advancement Flexible working hours and remote work ...

platform that drives real business outcomes. We value creativity, collaboration, and a commitment to excellence. As a Software Engineer in the Firmwide AI/ML Deployment Platform team, you will design and develop cloud-native solutions that support model deployment across the organization. You will work closely with data scientists … software solutions at scale Ability to design solutions with strategic insight Preferred Qualifications, Capabilities, and Skills Familiarity with monitoring tools, especially for AI/ML model monitoring Proficiency in Golang Experience with AWS Sagemaker for model training and deployment Familiarity with Kubernetes and managing deployments to EKS Knowledge of networking ...

mission to make the world's information accessible to everyone , regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT … services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations ...

Engineer in a hybrid role based in Bristol/London. You will join a cross-functional team to grow product algorithmic recommendations, evolving ML capabilities across the platform and taking ownership from discovery to production. You will mentor engineers and drive scalable, secure ML systems used by millions … customers daily. You will collaborate with Data Scientists, Product Managers and Backend Engineers, lead end-to-end ML system #J-18808-Ljbffr ...

Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline. Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer‐facing technical consulting. Hands‐on experience with modern AI technologies including LLMs … Proficiency in Chinese Mandarin is required to collaborate with China headquarters on product discussions, technical design, and cross‐functional initiatives. Self‐driven with strong learning agility, curiosity for emerging AI technologies, and the ability to thrive in a fast‐paced customer‐facing environment. Equal Employment Opportunity at Tencent ...

solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. … focus on operational excellence, including monitoring, automation, and incident response. Data‐driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimising their impact at scale. On-Call Requirement: This ...

defence capabilities. This is a hands‐on role suited to someone who understands modern security engineering and has a strong interest in AI/ML technologies, LLMs, automation, and risk management. What you’ll be responsible for Design and implement security controls for AI and machine learning solutions … security domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response. Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks. Experience securing cloud environments and modern development ...

looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self-development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Support in applying ...

have the opportunity to work across areas including: Solution and Enterprise Architecture Application and Integration Architecture Data Architecture and Engineering Cloud and Infrastructure AI, Machine Learning and GenAI Cyber Security Digital and technology transformation You'll help define current-state and target-state architectures, technology roadmaps, integration patterns … governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients and senior stakeholders Experience with industry platforms such ...