876 to 900 of 4,926 Machine Learning Jobs in England

products to corporations, governments, wealthy individuals, and institutional investors. Its Chief Data & Analytics Office supports the firm’s data and analytics work, while the Machine Learning Center of Excellence develops and shares machine learning solutions for business problems. *Instagram и Facebook принадлежат компании Meta Platforms Inc. … деятельность которой признана экстремистской и запрещена на территории РФ Задачи Develop state-of-the-art machine learning models for real-world problems, including NLP, speech recognition and analytics, time-series predictions, and recommendation systems Collaborate with Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management teams ...

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity … apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly ...

support Tripadvisor’s growth. We are looking for an intermediate level MLOps Engineer to join the team. If you're passionate about creating ML/AI Platforms that empower teams to enhance customer experiences, we’d love to have you on board! This is a hybrid role based in London … already based in London or max 1,5h away. (relaxed hybrid, 2x per month) What you'll do: Empowering Data Science and ML stakeholders, by providing the tools and support the infrastructure necessary for seamless execution of machine learning and AI processes. Support tech stack evolution by developing ...

Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. The AWS AI/ML team helps to support and operate some of the most comprehensive artificial intelligence and machine learning services in the world. From SageMaker … Bedrock to Amazon Q, the AI/ML team manage some of the most exciting, rapidly evolving services in AWS. If you join us, you'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity ...

pricing, market making, execution, portfolio construction, risk management, and the production systems that support them. Job Summary As a Quantitative Trading & Research – AI/ML Quantitative Researcher, you will lead research on building Transformer-based and time-series foundation models over large-scale market datasets, and develop the methods needed … make them robust, transferable, and measurable across instruments and regimes. We are seeking an AI/ML quantitative researcher with hands‐on experience pre‐training large foundation models from scratch. This role is designed for someone who wants to do deep research with real constraints - where questions like scaling laws ...

enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted ...

enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted ...

Head of Learning & Development (Global) London, UK About Datatonic Datatonic is a leading global data and AI consultancy, driving business transformation for the world's most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across … Cloud Data Engineering, Analytics, and Advanced Machine Learning/Generative AI. We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&D to own our global learning ecosystem, scaling our internal ...

Senior ML Engineer – Document Extraction Locations: London (Hybrid, 3 days onsite), Portugal (Hybrid or Remote) Department: Engineering Reports to: Engineering Manager Job Type: Full-Time Job Summary We’re looking for a Senior Software Engineer to join our Document Fraud team, where you’ll build products that delight customers across … documents globally. Lead the technical design of complex features and systems, taking ownership from RFC through implementation to production deployment. Build and optimise production ML systems: develop repeatable pipelines for training, evaluating, and deploying LLM models; implement GPU optimisations for inference; design advanced labeling workflows to improve model accuracy ...

Role and Location Senior ML Engineer - Document Extraction Entrust (Identity Verification) Locations: London (Hybrid, 3 days onsite); Portugal (Hybrid or Remote) Department: Engineering Reports To: Engineering Manager Job Type: Full-Time The Role We are looking for a Senior Software Engineer to join the Document Fraud team, building products that … Document Verification offerings to help customers create secure onboarding experiences. To achieve this, you will leverage technology such as VLM/LLMs and traditional ML approaches in production systems at scale, tackling challenges from designing training and evaluation pipelines, optimizing inference for real-time extraction, and integrating as part ...

Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage. They engage business and technology stakeholders across the Commercial & Investment Bank's lines of business to ensure processes, tools … controls are in place to support and incorporate AI/ML implementation best practices. As an Sr Associate on the AI/ML Governance team within the Commercial & Investment Bank (CIB), you will have the opportunity to contribute to multiple strategic, global initiatives. This role allows ...

work with cross-functional teams, and ensure alignment with business goals. You will bring extensive data science experience, strong statistics, and expert Python and ML libraries. Cloud deployment (Azure/AWS) and DevOps practices are essential in delivering reliable, scalable systems. #J-18808-Ljbffr ...

shaping the future of fintech – and we’re just getting started. There are a myriad of opportunities to use AI/ML as part of business processes in checkout, and we’re looking for an expert to help us make these a reality. Unlike many such roles, this … opportunity to truly drive innovation at scale that matters. We’re looking for a Staff Level AL/ML engineer to accelerate our adoption into the AI era; helping us set our AI vision and show us what is possible. As part of the Data and AI platform team ...

leadership. Required Qualifications, Capabilities, and Skills Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with ...

agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production ...

complex requirements into executable milestones Provide technical guidance to junior data scientists and analysts Requirements 5+ years of applied experience in Data Science or ML Engineering Track record of delivering production-ready models that drive measurable business value Strong expertise in Python and SQL Deep familiarity with pandas, NumPy, scikit … learn, and standard ML frameworks such as PyTorch, XGBoost, or LightGBM Experience working in cloud-based environments such as AWS or GCP Familiarity with CI/CD workflows, Git, and MLOps principles Ability to connect technical metrics to business outcomes and select appropriate algorithms Ability to explain technical concepts, model ...

integral part of the team, you will play a pivotal role in driving the adoption of cutting‐edge AI and Machine Learning (ML) technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited … responsibilities will include: Collaborating effectively with colleagues to advance production machine‐learning systems and applications. Conceptualizing, experimenting with, and assessing AI/ML‐based software systems. Developing, testing, and maintaining high‐quality, production‐ready code. Demonstrating technical leadership by taking charge of cross‐team projects. Creating libraries ...

data teams to deploy and operate AI workloads efficiently. What you'll be doing: Building and managing cloud-native infrastructure to support AI and ML applications. Designing and maintaining Kubernetes environments for production workloads. Developing and managing Infrastructure as Code using Terraform. Supporting CI/CD pipelines and platform automation … initiatives. Improving platform reliability, observability and scalability. Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance. Essential experience: Strong commercial experience with Kubernetes. Hands-on experience building Infrastructure as Code using Terraform. Experience working with cloud platforms such as AWS, Azure ...

including deposit analytics, liquidity management, balance sheet optimization, and revenue enhancement. Job responsibilities Lead the end-to-end delivery lifecycle of analytics, AI/ML, and business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization … implementation and adoption of business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics ...

Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research … passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment.If you like working with diverse data, collaborating with others, and seeing your models used in production ...

might look like: Taking ownership of ambiguous or novel technical challenges and setting a clear delivery approach for the team Delivering high-quality traditional ML, data science and Gen AI solutions that align with client needs Communicating confidently with senior stakeholders about technical decisions, trade-offs, risks and results Becoming … client leadership, team management, rigour and communication strength. You might be a great fit if you have: 5+ years of relevant experience delivering AI, ML or data science solutions end-to-end, ideally in a consulting environment Strong expertise in traditional machine learning and data science, including forecasting ...

defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML … implementing Faculty’s standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like ...

responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks Implementing MLOps frameworks, governance … major Consulting firm, and/or in industry A strong consulting mindset with experience engaging senior stakeholders Proven experience designing and delivering AI/ML solutions at scale Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks Experience with at least one major cloud platform including Azure ...

clustering), and operations research (linear, mixed integer programming, heuristics) Fluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit‐learn, pandas, numpy, gurobi, etc.) to solve real‐life problems and visualise the outcomes (e.g., seaborn) Proficient in working with cloud … platforms (AWS preferred), code versioning (Git), experiment tracking (e.g., MLflow) Experience with cloud‐based ML tools (e.g., SageMaker), data and model versioning (e.g., DVC), CI/CD (e.g., GitHub Actions), workflow orchestration (e.g., Airflow/Dagster) and containerised solutions (e.g., Docker, ECS) nice to have Experience in code testing (unit ...

machine learning, AI, and cloud technologies. Required technical and professional expertise Required Skills: Advanced Python with hands‐on experience across AI/ML frameworks including TensorFlow, PyTorch, and Keras. Strong understanding of foundation models, LLMs, generative AI, and modern ML architectures. Practical experience with AWS cloud services … ready AI solutions in complex professional environments. Strong consulting, stakeholder engagement, problem‐solving, and technical leadership capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena - Data warehousing & serverless analytics Amazon ...