726 to 750 of 2,927 Machine Learning Jobs in London

Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands‐on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep … e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. #J-18808-Ljbffr ...

enabled ways of working. AI fluency a sound understanding of data, analytics and AI, spanning current and emerging paradigms (generative and agentic), machine learning, data platforms and AI-enabled products, together with fluency in the AI delivery lifecycle and the principal reasons AI initiatives stall (data readiness, model … What can we offer you? New joiners are supported by an induction programme, and continuous development is a key focus of life at Teneo - learning and knowledge sharing are at the heart of this. We have an environment and culture that is focused on supporting your development and career ...

drive innovation & revenue through the development & delivery of revenue-generating/client-facing data engineering solutions used across the agency. The Senior Data and ML Engineer will be part of a growing team that delivers highly impactful data solutions across our extensive client portfolio and also the agency …/CD pipelines. Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning. Experience productionising ML and GenAI solutions (MLOps): deploying end-to-end model pipelines and establishing evaluation, benchmarking, and continuous monitoring frameworks. Experience leveraging GenAI technologies to build data solutions. Ability ...

architectures to executive boards and governance forums Priority Skill AI We are looking for experienceacross several ofthe following skills and experience: AI/ML architectural patterns,best practices, and platform technologies Experience designing AI/ML-driven solutions and data lifecycle management Data solution design,selecting theappropriate cloud-nativeservices … Foundational certifications in AWS and/or GCP Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML(e.g., AWS Certified Machine Learning – Specialty) What’s in it for you At Accenture in addition to a competitive basic salary, you will ...

architectures to executive boards and governance forums Priority Skill AI We are looking for experienceacross several ofthe following skills and experience: AI/ML architectural patterns,best practices, and platform technologies Experience designing AI/ML-driven solutions and data lifecycle management Data solution design,selecting theappropriate cloud-nativeservices … Foundational certifications in AWS and/or GCP Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML(e.g., AWS Certified Machine Learning Specialty) Whats in it for you In addition to a competitive basic salary, you will also have ...

with Airflow, Databricks Workflows or similar orchestration tools CI/CD pipeline development and DevOps practices Docker and Kubernetes Experience supporting data science or machine learning workloads This role will suit a Senior Data Engineer who enjoys remaining close to the technology and has strong recent experience building ...

versus writing code by hand. Preferred qualifications, capabilities, and skills Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer). #J-18808-Ljbffr ...

projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

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 ...

capabilities across the organization, with a specific focus on GenAI projects.Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. If you are passionate about machine learning, AI, and want to contribute to the platform capability development for our whole … Agile methodologies and working in Scrum/SAFE practicesFamiliarity with front-end technologies (HTML, CSS, JavaScript) is a plus.Exposure to the AI/ML techniques & methodologies is a plus.Knowledge of software development best practices, including version control (Git) and continuous integration (CI/CD) processes.Strong problem-solving and debugging skills.Effective ...

development of our platform, shaping its capabilities and providing impactful solutions.Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. If you are passionate about machine learning, AI, and want to contribute to the platform capability development for our whole … methodologies and working in Scrum/SAFE practices* Familiarity with front-end technologies (HTML, CSS, JavaScript) is a plus.* Exposure to the AI/ML techniques & methodologies is a plus.* Knowledge of software development best practices, including version control (Git) and continuous integration (CI/CD) processes.* Strong problem-solving ...

Expert, Databricks Certified Professional Data Engineer, Google Professional Cloud Architect) AI platform and engineering certifications (e.g. AWS Machine Learning Specialty, Google Professional ML Engineer, Databricks Generative AI Engineer) AI practitioner certifications demonstrating hand-on fluency with leading AI platforms — for example Anthropic Claude Certified Architect (CCAR ...

variants Skills and experience for success: Proficiency in using Python and R for efficient data processing and analysis. Knowledge of statistics and/or machine learning. Familiarity with high-throughput sequencing algorithms. Expertise in cancer genomics, understanding tumor drivers, and interpreting genomic data through targeted pathways. Hands-on experience … developing high-quality, reusable code, with a strong command of Git and CI/CD practices. Ability to evaluate statistical and machine learning techniques, apply them in practical scenarios, and interpret results while considering the assumptions and limitations of the methods. Experience working in cross-functional analytical team ...

pilots - and we’re growing the team to take it even further. About The Role We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots. You will design and train reinforcement learning policies that enable dynamic locomotion … will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning. What You’ll Do Design and train reinforcement learning policies for humanoid robot control. Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo). Design reward functions, observation spaces, and curricula ...

extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset Managers Develop and maintain robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. … Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit if: Substantial experience querying, cleaning, compiling, and analyzing big data. Familiarity applying various computational social science methods including data mining, data ...

data products, and scalable data pipelines across cloud environments. Build, optimise, and maintain batch and real-time data processing solutions to support analytics, reporting, machine learning, and AI use cases. Work with clients to understand business requirements and translate them into robust technical solutions. Contribute to solution architecture … way. Experience working within consulting, professional services, or client-facing delivery environments. Nice to Have Experience building AI-ready data platforms and supporting GenAI, ML, or advanced analytics workloads. Experience with real-time streaming architectures and event-driven systems. Experience with data mesh, data product operating models, or modern data ...

about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have a strong CS or ML educational background. You hold a degree (BSc, MSc or PhD) in Computer Science, Machine Learning, or a closely related quantitative field. You have … solid grounding in software engineering principles and modern ML frameworks. You have built systems that access large models via APIs. You have significant experience designing, deploying and maintaining infrastructure for large-scale model serving and have hands‐on experience building robust API layers around ML models. You are customer-facing ...

grow your career, collaborate globally, and influence the technical vision of our organization. We value your expertise in software engineering and AI/ML, and offer a dynamic environment where your ideas and leadership drive real change. Experience the benefits of working with cutting-edge technology and a supportive, inclusive … team. Together, we push the boundaries of what's possible. As a Software Engineering Lead in our AI/ML Solutions Team, you will architect, design, and deliver secure, high-quality production software systems. You will collaborate with product and business teams to set technical vision and execute strategic roadmaps ...

Product Manager for Vision Models, you are the critical layer that connects on-the-ground AI performance with our AI/ML engineering. You will: Capture and triage data + feedback from customer deployments Use your judgement and understanding of our customer's industrial processes + priorities, recycled material … vision AI capabilities to prepare and prioritise work for our AI/ML engineers Lead the domain discovery required to bring new materials and markets online Own the data pipeline and labelling teams that we use to teach our models You will spend time at recycling sites watching how operators ...

Senior Data Modeller , you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

driving transformation for world-class businesses. We push the boundaries of technology to deliver meaningful, transformative outcomes for our clients through our expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights … Fitness & Wellbeing: Gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). Hybrid Model: A dedicated WFH allowance to keep your home setup comfortable. Learning & Growth: Generous learning access (including Udemy and GCP certifications) to fuel your continuous curiosity. #J-18808-Ljbffr ...

Markets is hiring an ML Ops Engineer to build and operate platform capabilities that move machine-learning models from experimentation into reliable production services. You will own automation, deployment, observability and operational controls around the ML lifecycle, collaborating with research, software, platform and product teams to ensure reproducibility … scalability, security and dependability of ML systems. #J-18808-Ljbffr ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

technical audiences. Experience with financial concepts, especially in banking, treasury and cash management. Preferred qualifications, capabilities, and skills Experience supporting predictive analytics or machine learning workflows. Knowledge of data governance, security, and compliance in financial services. Experience with CI/CD concepts, Git and end to end software ...

data frameworks (e.g., Snowflake, BigQuery, Redshift). Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Bicep, Terraform). Exposure to machine learning and AI solutions. Understanding PowerShell and Azure. Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. ...