476 to 500 of 2,937 Machine Learning Jobs in London

broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers. In this role, you will design statistical and machine learning … rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure. Apply data science to improve Google Cloud ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

bout pour concevoir, créer et gérer des logiciels reproductibles, testables et évolutifs, Travailler sur la mise en place et l’utilisation de plateformes ML/IA/MLOps (telles que AWS SageMaker, Kubeflow, AWS Bedrock, AWS Titan), Apporter à nos clients des best practices en termes d’organisation, de développement … workshops, articles, hackerspace, Participer au recrutement de nos futurs talents. Évoluer au sein de la communauté Évoluer au sein de la Squad AI/ML, c’est être acteur dans la création d’un environnement stimulant dans lequel les consultant·e·s ne cessent de se tirer vers le haut ...

looking for a Software Engineer to join their Perception team. You will be responsible for designing and optimizing software related to machine learning training, impacting self-driving vehicle safety. Ideal candidates should possess solid … software engineering skills in C++ and Python, with significant experience in real-time safety-critical systems and machine learning infrastructure. Collaborating with ML engineers is essential to integrate components into the development process. #J-18808-Ljbffr ...

Lead Software Engineer at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and deliver outstanding banking experiences. You will collaborate with data scientists, product managers, and engineering teams to translate business initiatives into robust, customer … identifying and solving problems effectively Build reliable, easy-to-operate systems Continuously update and upgrade technologies and patterns Maintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production and incident management Ensure compliance and security in AI/ML solution deployment and operation ...

preparation and feature engineering pipelines for the models Plan and implement algorithms for predictive modeling. Provide continuous improvement of models in production Lead the ML-driven python coding for end-to-end model deliveries, support our ML-related libraries/Collaborate with a cross-functional team of specialists, including senior … junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists. Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general. Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders. Keep up with tight deadlines, agile environment ...

introduced into a solution. You have a proven track record of successfully designing and deploying large-scale infrastructure on which significant AI/ML solutions operate in production and demonstrably deliver business value — not just systems that perform, but systems that move the needle for the organizations they serve. … build upon. As a recognized expert across at least one hyperscaler cloud — and conversant across several — you bring deep, current knowledge of AI/ML services, accelerators, interconnects, and cost levers, and you continuously scan the horizon to identify promising emerging technologies and judge where and when they belong ...

achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. Your key responsibilities: Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors … visualisation software: Spotfire, Tableau, or Power BI; Azure cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire ...

fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role … Python and SQL, ranging from simple heuristics to complex machine learning models. Build robust solutions that scale, whether rule-based or ML-driven. Collaborate with Software Engineers,Data Scientists, and Product Managers to implement features and evaluate their impact. Run experiments, test new ideas, and assist in automating ...

property, Agent Packs, accelerators, and product enhancements. Required Qualifications Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline. 1–3 years of relevant experience through internships, co‐ops, research, freelance work, academic projects, or professional … similar languages. Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud‐based applications. Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts. Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/ ...

proactive problem-solving approach, ensuring the successful execution of impactful data science initiatives. Skills and Experience Technical Expertise & Data Science Acumen: Advanced Data Science & Machine Learning: Proven expertise in a wide range of data science methodologies, including statistical modelling, machine learning algorithms (e.g., regression, classification, clustering ...

ownership end-to-end, from designing complex and computationally heavy backend systems, all the way to UI/UX problems on the front end. Learning new areas insanely quickly, and then getting stuck in. This may include, for example, understanding some new re-ranker, embedding model, memory system … Kubernetes (or similar containerised environments), etc. Ability to self-organise and work independently. Nice to have Experience with NLP, LLMs, or other AI and machine-learning systems. A background in machine learning, statistics, or mathematics. Infrastructure-heavy projects, complex data pipelines, desktop applications, front ends ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … coordinate multi-step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection, and semantic log clustering. Self-healing Infrastructure Engineering: Experience designing closed-loop, self-healing systems that autonomously execute ...

Digital Limited is seeking a Machine Learning/Data Engineer to deploy and operate AI/ML architectures in production. The role emphasizes building high-volume batch systems, real-time microservices, automated retraining, and strong observability across cloud infrastructure. You will leverage Python, SQL, PyTorch, TensorFlow, and Scikit ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands‐on experience in customer behaviour analytics, marketing, commercial … Experience leading cross‐functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work … build effective internal and external relationships Strong influencing and negotiation skills Creative thinker with the ability to propose innovative solutions Passion for continuous learning and self‐development Leadership capability, either formally or through delivery ownership To qualify for this role, you must have: Multi-skilled experience ...

opportunity for you to take your software engineering career to the next level. As a Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure … Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps. Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents. Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond ...

expert in at least one hyperscaler cloud (such as AWS, Azure, or Google Cloud), you bring authoritative knowledge of that platform's AI/ML services, accelerators, networking, and cost levers, and apply it to deliver best-in-class solutions. Beyond design, you set technical direction and standards, lead … mentor engineers and architects, partner with clients and stakeholders to shape the infrastructure roadmap, and are ultimately accountable for delivering AI/ML infrastructure that meets business SLAs, controls cost, and scales to enterprise and frontier workloads. THE WORK Own the end-to-end architecture and design of optimized compute ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. Responsibilities: Working with and learning from some of the market's top thought leaders, you'll become part of multiple, varied client projects from day one. These will focus … Build your core technical skills through hands-on experience and team support Deliver data science projects that involve the development, assessment and deployment of machine learning models and writing of high-quality code Learn and apply open-source tools and technology, alongside WTW's own proprietary insurance technology ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

models can do. Trace failure modes across the full agent loop, from planning to tool calls to final output. Set the standard for ML engineering: experiment design, reproducibility, documentation, and guidance for other engineers building the harness. What we're looking for BSc, MSc or PhD in Computer Science, Mathematics … Statistics, Physics or a related field, or the equivalent in the form of experience. Strong Python. 4+ years in ML engineering or data science, including production systems you owned end to end. Built and shipped an agent system that real users or workloads depend on: models calling tools, planning across ...

formal training. What you will do Position CDW Custom AI capabilities - Engage with all Customer AI personas: technical personas (CDO, MLOps, AI/ML Engineer, Data Scientist), outcome-driven personas (CEO, CTO, LOB) and ITDMs (CIO, VP Infrastructure). Technical SME on CDW Custom AI – Maintain expert level knowledge … essential Evidence of judgement-based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private ...

complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model … about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS‐level optimization, and building robust, multi ...

Product Data Scientist to join our Insights team to support our Shipping Team. You’ll partner closely with product, operations, engineering, and machine learning to deliver insights, drive experimentation, and shape how every item moves from seller to buyer. This role sits at the intersection of technical depth … first consumer products Experience in shipping, logistics or marketplace unit economics Experience working with machine learning teams or embedding data science in ML-powered product features Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle ...