201 to 225 of 1,540 Machine Learning Jobs in the UK

Location: dmg media HQ - High Street Kensington, London, W8 Position: Permanent About the Role We are seeking a motivated ML Engineer/Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms. In this role, you'll work at the intersection of machine learning and data engineering - designing and … maintaining scalable data pipelines, supporting analysts and stakeholders with reliable datasets, and deploying ML models into production at scale. You'll play a critical role in ensuring both the data foundations and the ML systems are robust, efficient, and impactful.The ideal candidate is pragmatic, collaborative, and passionate about solving complex problems with data and machine learning. Main Responsibilities Collaborate … with data analysts to create ML models from prototype to production Design, build, and maintain data pipelines and feature engineering workflows Deploy, monitor, and optimize ML models and pipelines in production Implement MLOps best practices including CI/CD, experiment tracking, and model monitoring Support and evolve the current data warehouse and cloud infrastructure Ensure data quality, validation, and governance More ❯

are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilities Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon … AI models that beat SOTA and paves path for developing production models Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys. Basic Qualifications 3+ years of building machine … of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Prior experience in productionizing ML models and managing their full lifecycle from development to deployment Preferred Qualifications Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion More ❯

are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilities Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon … AI models that beat SOTA and paves path for developing production models Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys. Basic Qualifications 3+ years of building machine … of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Prior experience in productionizing ML models and managing their full lifecycle from development to deployment Preferred Qualifications Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

AI/Machine Learning Engineer Remote – UK Competitive Salary + Equity About the Role Our client, a leader in blockchain analytics, is seeking a Senior AI/ML Engineer to help develop cutting-edge models that analyse vast amounts of blockchain data. This role is central to building innovative AI-powered solutions that uncover patterns, generate insights, and … empower investors in the rapidly evolving crypto space. Key Responsibilities Lead the design, implementation, and optimisation of AI/ML models for blockchain data analysis. Collaborate with product and engineering teams to integrate AI/ML solutions into the core platform, enhancing capabilities and user experience. Stay ahead of the curve on emerging AI, ML, and blockchain technologies, applying them … to complex, real-world problems. Mentor junior engineers and champion best practices across the AI/ML function. Align AI/ML initiatives with business objectives and customer needs through close cross-functional collaboration. Deploying scalable AI/ML systems capable of processing large, complex data sets. Leveraging modern AI models, APIs, and SDKs (e.g., OpenAI, LLMs). Enhancing the More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

Delivery Consultant - AI/ML, Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and … also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities Design and develop robust and scalable AI/ML solutions for business problems Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem Effectively use Foundation Models available on Amazon … When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models 5+ years of professional experience in a business environment; experience of IT platform implementation in a More ❯

Senior Delivery Consultant - Data Scientist AI/ML, AWS Professional Services Job ID: AWS EMEA SARL (Spain Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet … Science, Engineering, related field, or equivalent experience - 5+ years of experience in cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions design, architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production, including batch and real-time … compute, storage, and virtualization experience - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, SageMaker, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe More ❯

vision to transform lives with trusted financial services that transcend borders. About the Role: We're looking for a Machine Learning Engineer to design and build scalable ML models that power critical treasury decisions. You will focus on leveraging advanced algorithms-from real time currency exposure forecasting to automated hedging strategies-to improve Remitly's overall risk management … London reporting to the Head of Treasury Analytics and Data Science, and involves collaboration across global teams, requiring strong communication and coordination skills. You Will: Develop, deploy, and monitor ML models that forecast FX exposure, optimise hedging, and improve liquidity planning. Build predictive cash flow models and scenario simulations to inform funding strategies. Enhance our analytics platform with automation, feature … results to stakeholders, including senior leadership. You Have: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on More ❯

AI/ML/Data Science Strategy & Delivery Lead (SM/D) London, United Kingdom req2495 Posted on: 11/09/2025 - Application Deadline: - About Baringa: We set out to build the world's most trusted consulting firm - creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE … members. Typical engagements include: Developing tailored and innovative strategies for transformation and growth through AI, with the ability to then leading the end-to-end delivery of AI/ML projects, from discovery and design through to deployment and monitoring. Identifying AI use cases and building business cases for AI adoption Advising and upskilling clients on AI/ML operating … models, governance frameworks, and responsible AI/ML practices. Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisation's strategy, policies and standards and in some cases, help customers to define new policies, principles and standards Translating business objectives into AI/ML delivery plans, managing cross-functional teams to execute against them. Supporting More ❯

expanding Data and Decision Support Capability. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential data and decision making. You will have the opportunity to deliver a wide range of AI/ML research topics for customers across space, defence, security and commercial … and to maintain strong links with academic partners and grow technical research areas of interest to you. The Data and Decision Support Capability has teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will … novel concepts and research findings where appropriate. Essential Knowledge, Skills and Experience PhD or equivalent industry experience in a relevant discipline. Several years of expertise in applying AI/ML and/or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep More ❯

Science, Engineering, related field, or equivalent experience - 5+ years of experience in cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions design, architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production, including batch and real-time … with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker pipelines, Glue, LakeFormation, LLM, Bedrock, Datalake, MLOps, Model inference, Model Monitoring, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe More ❯

Job Title: ML Ops/LLM Ops Engineer Location: Hybrid (potentially 1 day per week in east London) Contract: 6 month Contract Day Rate: £400 per day (Outside IR35) About the Role We are seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning … Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and support production-grade ML services. This is a fast-moving environment where cutting-edge Generative AI technologies are constantly evolving, so adaptability and technical excellence are essential. Key Responsibilities Design and implement tooling and … technologies to support ML models and LLMs in production. Deploy, maintain, and optimise machine learning services within a cloud environment (AWS). Recommend and implement prompt management tools and provide expertise in prompt engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. More ❯

systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. Explore new data sources … and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready … techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals More ❯

and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning … partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms … Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can More ❯

make this vision a reality. The ideal candidate will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. This person should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … work. Our leaders will be committed to your career and development from day one. Key Responsibilities Back end development for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics for More ❯

make this vision a reality. The ideal candidate will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. This person should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … work. Our leaders will be committed to your career and development from day one. Key Responsibilities Back end development for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics for More ❯