1 to 25 of 1,721 Permanent Machine Learning Jobs in London

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series … reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning … and Reinforcement Learning. For more information about the MLCOE, please visit this link . To learn about how we're using AI/ML to drive transformational change, please read this blog . The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's More ❯

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine … learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level … systems programming and ML optimization to be part of a team that is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the More ❯

across the organization. The position could be based out of our Chicago, NY, or London offices. Specific Emerging Technology Team Objectives: Gen AI/ML technology implementation with business and product owners. Emerging Tech Governance function covering policies, guidelines, and processes to govern AI/ML enabled components as well … by GenAI, deep learning, and machine learning to address business challenges and elevate product performance. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business. Develop and deploy machine learning and Gen … innovative machine learning and Gen AI solutions that leverage data to meet business goals. Design and develop scalable solutions and GenAI and ML workflows that leverage machine learning, Gen AI, and deep learning models to meet enterprise requirements. Actively participate in maintaining SLAs for Production More ❯

their highest potential. Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Operations Engineer to join our vibrant London office with hybrid working. This is an exciting role and would most likely suit someone with previous experience … role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE 250 company, XPS … within XPS. Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity More ❯

about the options for this particular role. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE … Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on prototype development and be responsible … for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring More ❯

We are seeking an experienced MLOps Engineer to bridge the gap between machine learning models and production environments. As an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machine learning infrastructure in AWS. You will work closely with data scientists, DevOps teams … as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and managing machine learning models. Proficiency in containerization (Docker, Kubernetes) and automating ML pipelines using CI/CD tools like CodePipeline, Jenkins, and GitLab CI. Experience with model versioning tools (MLflow, DVC, SageMaker Model Registry) and automating data … standards. Background in machine learning libraries such as TensorFlow, PyTorch, or XGBoost for model development and training. Familiarity with serverless computing for ML workflows using AWS Lambda and API Gateway, and multi-cloud environments. If you are a skilled MLOps Engineer with a passion for automating machine More ❯

Machine Learning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Machine Learning Engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some … Learning Engineer : 2yrs+ in a commercial Machine Learning role Solid experience of Java and Python A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a More ❯

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at … As a Principal Machine Learning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machine learning, with opportunities to lead … and deploying large-scale machine learning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machine learning systems, including data engineering, model training, and real-time inference. Domain Mastery: Specialization in large-scale More ❯

innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. Are you passionate about … What you ll do: Establish the roadmap and own the OKRs for machine learning systems powering our insurance business Utilize the latest ML and AI technologies to enhance our travelers' personalized experience and discovery experience on both app and web platforms. Drive innovation, technical excellence, and deliver business … and prioritize requirements Operate with a broad business perspective and technical depth, understanding company goals while navigating and influencing the EG data platform and ML technology stacks Recruit, develop, and manage highly skilled and independent applied machine learning scientists in a complex environment Who you are: You have More ❯

Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities … learning applications within the company, and improve on pre-existing models. Collaborate closely with product and development teams to define and prepare new ML applications. Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning … Large Language Models (LLMs), to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology More ❯

impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers … Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning … that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and More ❯

Commercial Insights to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. At M-KOPA, machine learning research isn't conducted in an academic vacuum-it's deployed to empower millions of people across Africa. As our Commercial Research … application. You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learning-it will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings. Working in a … credit, optimize our operations, and develop new products that bring digital and financial services to those traditionally excluded from the system. Imagine seeing your machine learning innovations translated into real stories of impact: a small business securing its first inventory loan, a family accessing educational content through their More ❯

and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and … deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie's continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment … retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You'll harness the power of Proximie's deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie's customers. The second machine learning engineer position will More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting … datasets to extract meaningful insights and features for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production environments on Kubernetes and AWS cloud platforms. Utilize Docker for containerization and orchestrate containerized … science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a 'data engineer'. You have worked More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting … science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a 'data engineer'. You have worked … and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud platform (experience with GCP or Azure is More ❯

Machine Learning Manager manages the work efforts of Machine Learning Scientists and is accountable for the performance and results of their staff. They oversee highly complex projects that have significant impact on the organization, consult on complex issues, and contribute key ideas. They are a spokesperson … and advocate on relevant machine learning topics to both internal and external audiences and stakeholders. They contribute directly to the features and capabilities deployed in our applications and are responsible for advanced project delivery, execution, and support. They work closely with cross-functional business units, software engineering, and … econometric/probabilistic relationships across the big data stack, and with product and marketing teams to understand client goals and turn research into products. Machine Learning Managers provide guidance to their staff within the latitude of established company policies, receiving assignments in the form of objectives and determining More ❯

delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning … Science, with a specialization in machine learning or equivalent experience. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data, and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based solutions that … DL training/Inference. Experience with reducing model serving latency, memory footprint. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender More ❯

Associate Machine Learning Scientist page is loaded Associate Machine Learning Scientist Apply remote type Partially Remote locations London, UK time type Full time posted on Posted 6 Days Ago job requisition id JR4784 Company Description Depop is the community-powered circular fashion marketplace where anyone can … cadence, technical whiteboarding sessions, planning and product roadmapping) Report and present technical findings to technical and non-technical audiences Skills and Experience: Experience developing ML models to solve real-world problems, experience working as a Data Scientist or Machine Learning Scientist Proficiency in Python Solid understanding of machine … work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up to date with applied ML developments Bonus Points: Experience with pricing models, causal inference, or revenue optimisation Experience with NLP, image processing, information retrieval, and deep learning models Experience More ❯

strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions … that utilize customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out … to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to More ❯

work with: Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're … proactive problem-solver with a passion for machine learning, we'd love to meet you. The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You … algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance. Collaboration & Cross-functional Integration: Work closely More ❯

Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing … Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich datasets with cutting edge algorithms to build our … Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a MLOps Engineering Manager at More ❯

pipelines, transforming experimental models into scalable, production-ready systems while closely collaborating with the Product Design and Engineering (PDE) team to create impactful ML-driven products in the healthcare setting. In addition to optimizing infrastructure, automating workflows, and ensuring seamless integration from model development to deployment, you will play … mission of saving lives. Key Responsibilities: Ownership of Machine Learning Infrastructure: Develop, deploy, and maintain scalable pipelines for both Circadia's proprietary ML models and off-the-shelf solutions. Optimize model training and inference workflows to handle large-scale, real-time data efficiently. Design robust model monitoring systems … to track performance, detect drift, and ensure reliability. Implement infrastructure to support the experimentation and productionization of ML models cost-effectively in AWS and Snowflake. Building and Deploying ML-Driven Products: Collaborate closely with the Product Design and Engineering (PDE) team to design, build, and iterate on ML-powered products. More ❯

The Role As a Machine Learning Engineer for the Alerts team, you'll be at the intersection of cutting-edge AI/ML technologies and real-time data processing. You'll work on developing and optimizing anomaly detection algorithms that power our highly scalable stream processing platform. What … You'll Do You'll collaborate with a team of skilled engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection. You will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models, to detect anomalies across billions of events. You'll design and implement sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders, tailored to our unique data streams. Creating robust evaluation frameworks and metrics to assess the More ❯

the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance … Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows. CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models. Model Monitoring: Help monitor the performance of … in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine More ❯

Hybrid £90,000 to £100,000 VIQU have partnered with one of the UK's leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has … modified the work structure to help the customers, take on new technologies and develop business outclass. The Data & ML Product Lead will oversee the lifecycle of Data and Machine Learning products, driving the data strategy, development and delivery of the products. The position will benefit from hybrid working … how data products create business value' • Experience managing and establishing governance' • Strong understanding of Azure products and Databricks' • -Background in Machine Learning (ML) analytics and deploying products' • Proven ability to mentor teams and lead continuous improvement in the data environment' • Excellent communication skills, attention to detail and self More ❯