76 to 100 of 439 Machine Learning Jobs in London

labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing … suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday More ❯

and adoption. Key Responsibilities Cloud Strategy & Innovation Define and lead the global Azure cloud strategy, ensuring alignment with digital transformation and business goals. Drive the adoption of AI and machine learning capabilities within Azure to improve efficiency and enhance customer experience. Continuously assess emerging technologies and trends to evolve the cloud roadmap. Architecture & Design Partner with Microsoft and … Transformation Collaborate with architects and engineering teams to modernise legacy systems and enable cloud-native development. Lead the integration of Azure AI services (including Azure OpenAI, Cognitive Services, and Machine Learning) into key business applications. Global Operations & Service Delivery Oversee 24/7 global cloud operations, ensuring optimal availability, performance, and reliability. Implement and manage service support models … years focused on Azure cloud strategy and operations. Proven track record managing large-scale, global cloud environments and distributed teams. Deep expertise in Azure services, cloud architecture, AI/ML integration, and managed service delivery. Excellent leadership, communication, and stakeholder management skills. Strong financial acumen, with experience in cloud cost optimisation and budgeting. Demonstrated ability to build and evolve modern More ❯

system maintenance with a focus on automating key processes. You'll provide technical oversight of data science outputs, interacting with stakeholders across the business to design robust statistical and machine learning models and tools. Working hands-on, you'll develop and deploy models and pipelines, monitor performance, and define data requirements. You'll help shape our data strategy … or R), you're curious, innovative and commercially minded, turning data into clear, actionable insights. You bring expertise in data analysis, visualisation, software development best practices and statistical and machine learning methods, and communicate complex ideas simply to both technical and non-technical audiences. If this sounds like you then we'd love to hear from you Closing More ❯

background should include deep knowledge of banking operations alongside an appreciation for regulatory considerations unique to this sector. You possess a thorough understanding of artificial intelligence concepts such as machine learning or NLP without needing direct coding skills-enabling you to communicate effectively with technical experts while focusing on strategic outcomes. Your proven ability in programme management means … over several years. Deep understanding of banking operations including customer delivery models as well as familiarity with regulatory frameworks governing financial institutions. Conversant in artificial intelligence concepts such as machine learning, natural language processing (NLP), automation technologies including generative AI or agentic AI-without requiring hands-on coding expertise. Extensive experience in programme management encompassing oversight of multiple More ❯

to intake, process, transform, and store large amounts of data from various sources. You will build and maintain the core data infrastructure that powers the organisation's advanced analytics, machine learning applications, and data-driven decision-making. This role requires strong technical skills, problem-solving abilities, and excellent communication with stakeholders at all levels. Requirements 10+ years of … Vault AWS Python Nice to Have: Experience with blockchain infrastructure and data integration Knowledge of SQL and NoSQL databases Experience with data visualization and business intelligence tools Familiarity with machine learning pipelines and model deployment More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

really magical time to join The Team You'll Join The Train Team is responsible for the adaptive training engine that powers every plan our runners follow, and the machine learning models that sit alongside it to guide customers if they start going off-track. It sits at the centre of our product and is one of the … runner's training plan, ensuring it remains personalised, effective and engaging. You'll be leading a world-class cross-functional team of around 30 people, bringing together engineers across machine learning, modelling/simulation and full-stack development, alongside product managers and designers who guide the strategy and keep us focused on delivering real value for runners. The … maintaining quality and momentum. You have a technical background (eg. Engineering, Computer Science, Maths, Physics), or equivalent hands-on experience building technical/complex software products (e.g., with traditional ML models, LLMs or modelling). You are London-based, or able to work in person at our Vauxhall office on a Hybrid model (ideally 3 days per week). Bonus More ❯

description: Stats Perform is the global leader in sports tech, delivering the most trusted sports data to the worlds biggest names in sports, media, and broadcasting. Using AI and machine learning, we transform decades of data and live game insights into powerful tools for coaches, teams, media, and sportsbooks. The result? Smarter decisions, deeper fan engagement, and a … specialists to elite journalists and cloud engineers, our team turns raw numbers into magic. Our tech experts work with advanced cloud solutions, Java, JavaScript, and Python, using AI and machine learning to extract insights and deliver them via APIs. Were looking for a visionary and commercially astute leader to join our Rights team as VP of Rights. This More ❯

You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively … scientists and team members, actively contributing to the growth and technical excellence of the organisation. Who we're looking for: You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape. You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and More ❯

company that develops advanced analytics software for global credit investors. We work with the world's largest investment banks, asset managers, and hedge funds. The analyst utilizes our proprietary machine learning technology to build and maintain our data set – financial models across US and European credit markets. An ideal candidate for this position will have an accounting or … Good Excel knowledge plus experience with data management Typical Day: Growing our data by processing financial reports using the Company's proprietary data extraction system, assembled using cutting-edge machine learning technology Analysing resulting output for accuracy and completeness using internally developed audit tools and techniques Monitoring/"owning" your coverage universe to support live data updates during More ❯

we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to … solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. The Lead AI & ML Engineer leads this team. We're looking for an individual who can own the standard & delivery of AI/… ML across Charlotte Tilbury and contribute to the development & delivery of the company's AI strategy. You'll manage & coach a team of AI engineers, and play a pivotal role in AI enablement across the company educating and advising teams across the business on safe, scalable and impactful adoption of AI. You will be expected to balance hands-on technical More ❯

engineers in the field. Our platform allows our energy specialists to be the most productive in the industry, with our suite of AI tools making us pioneers in using ML and AI to make agents' lives easier and customers happier. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving … them lots of autonomy. Our ML team consists of ML, front-end and back-end engineers, so that we can rapidly prototype and get innovative tools in use at breakneck speed. We've had great success in using AI to bring better service to customers, and we want to bring that success to the whole business. You'll be part … the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that consults other teams use More ❯

we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to … solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team … collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications. As AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Partnering with stakeholders to scope problems More ❯

Join JPMorganChase, a global leader in financial services, as we revolutionize our operations with artificial intelligence and machine learning. As a Software Engineer III at JPMorgan Chase within the AIML and Data Platforms (AMDP) team, you will … be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing … innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Integrate with AWS Cloud Services for compute, storage, databases, and security More ❯

power users. As our Customer Education Lead, you'll own the complete educational journey for our clients, from initial onboarding through advanced mastery. You'll design and deliver innovative learning experiences that go beyond conventional LMS approaches, embracing modern, Gen Z-inspired methodologies that make complex AI automation accessible and engaging. This role while reporting directly to the COO … shape our customer education strategy from the ground up. Key Responsibilities Customer Enablement Strategy Design and execute comprehensive education strategies that accelerate customer adoption of Maisa Studio Create scalable learning journeys for two key audiences: citizen developers (business users) and process engineers (business process consultants) turning AI Automation experts Collaborate with the product, customer success and client services teams … Spanish can be a plus Data-driven mindset with experience using analytics to improve educational outcomes Desired Qualities Experience with automation technologies (RPA, BPM, process mining) or AI/ML platforms Knowledge of change management and adoption strategies for enterprise software Video editing, graphic design, or multimedia content creation skills Startup or scale-up experience in a fast-paced, evolving More ❯

a specialization in applying Generative AI technologies to solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: Google Cloud Platform (GCP) Expertise Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP … Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings. Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including AutoML, custom training, and pre-trained models. Understanding of Vertex AI's role in enabling generative … AI solutions. GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud Solution Design: Building scalable, secure, and resilient cloud architectures, including designing AI/ML infrastructure. Data Handling: Big data analytics, warehousing, and ETL/ More ❯

LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS/CLOUD INFRASTRUCTURE/ More ❯

metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS and … multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine-tuning only when needed. Fine-tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers’ research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable … and guide more junior engineers and other team members, review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal-tech/legal-analytics domain to bring relevant innovations into our stack. Skills and Experience Professional experience Demonstrable experience in software engineering, with 2+ years building More ❯

Azure Synapse Azure SQL and Azure Storage Azure Data Factory ADF Expertise in building and managing complex data pipelines Databricks Handson experience with Spark based data processing notebooks and ML workflows Data Modeling Proficiency in conceptual logical and physical data modeling SQL Python Advanced skills for data manipulation and transformation Insurance Domain Knowledge Understanding of insurance data structures claims policy … and regulatory requirements Preferred Skillset: Power BI Experience in building dashboards and visualizations Data Governance Tools Familiarity with tools like Purview or Collibra Machine Learning Exposure to ML model deployment and monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java More ❯

Azure Synapse Azure SQL and Azure Storage Azure Data Factory ADF Expertise in building and managing complex data pipelines Databricks Handson experience with Spark based data processing notebooks and ML workflows Data Modeling Proficiency in conceptual logical and physical data modeling SQL Python Advanced skills for data manipulation and transformation Insurance Domain Knowledge Understanding of insurance data structures claims policy … and regulatory requirements Preferred Skillset: Power BI Experience in building dashboards and visualizations Data Governance Tools Familiarity with tools like Purview or Collibra Machine Learning Exposure to ML model deployment and monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java More ❯

statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment, monitoring, and More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

Join Savanta's Technology Team and Shape the Future We're looking for a talented AI/ML professional who lives and breathes data, models, and code. Savanta is a data, market research and advisory company with teams in the UK, Americas, and APAC. Working with high-profile organizations and some of the world's best-known brands, we Inform … prototypes. This role is open to both early-career and experienced candidates - what matters most is your ability, curiosity, and output. You'll design, develop, and deploy AI and ML solutions, from foundational model experimentation to production-grade prototypes. You'll collaborate closely with the Head of Innovation and a team of experienced engineers, researchers, and product leaders to bring … ideas to life. Key Responsibilities: Build and deploy prototypes that deliver real business or research value. Lead model experimentation, evaluation, and creative prototyping. Implement and extend recent AI/ML research into functional systems. Operate across the stack: data pipelines, model training, API development, and intuitive interfaces. Introduce new tools, frameworks, and research directions to the team. Foster a culture More ❯

for Industry 4.0 develops, designs, and oversees the implementation of scalable, reliable, and secure solutions. These systems leverage emerging technologies like the Industrial Internet of Things (IIoT), AI/ML, and cloud computing to improve efficiency, productivity, and decision-making for manufacturing operations. This role translates business requirements into technical blueprints, manages technology integration, and provides technical leadership throughout a More ❯

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this More ❯