601 to 625 of 3,269 Machine Learning Jobs in the UK

match the full criteria, so if you have most of the below, we’d like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real-world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty … epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy-preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using ...

time fraud detection platform to craft solutions for our enterprise customers . About the rol e: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring sys temsProven ability to create polished presentations and effectively communicate insights to customers with attention to de tailHave extensive multi-tasking and prioritisation skills. ...

architecture. We are seeking a Senior Developer who is comfortable navigating this hybrid landscape—someone eager to blend existing knowledge with emerging AI and machine learning tools to build the future of our data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands … Managed Instance. Working knowledge of Azure Event Hubs or Active Batch. A keen interest in applying Artificial Intelligence (AI) and Machine Learning (ML) to real‐world data problems. #J-18808-Ljbffr ...

experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly … testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options #J-18808-Ljbffr ...

maintain visibility of programme progress and address concerns proactively. Champion agile delivery, value-stream thinking, and continuous learning across AI/ML workstreams. Maintain financial oversight of portfolio budgets and ensure timely reporting to leadership. Identify opportunities to scale, standardise, and accelerate deployment across audit domains. As our firm …/or other KPMG offices. The person: Experience and knowledge requirements: Extensive experience in programme management or technology leadership roles within AI/ML, data science, and/or software development. Proven ability to lead large-scale, interdisciplinary initiatives in complex, regulated environments. Understanding of the software product development lifecycle ...

platform engineering function as required. About You We're looking for a hands-on GCP cloud engineer with strong experience supporting AI and machine learning platforms in enterprise environments. Essential Experience Strong hands-on experience with Google Cloud Platform, including AI and Machine Learning services such … Platform. Experience with Azure AI services and the broader Microsoft ecosystem, including Azure infrastructure, Microsoft 365 and Entra ID. Practical experience supporting AI/ML infrastructure, including: Vector databases Model hosting solutions Serverless inference Containerised AI workloads Model versioning and evaluation pipelines Experience configuring and securing API gateways ...

Cleared Data Scientist/Machine Learning Consultant Hybrid Locations Permanent £45000-70,000 Join one of the UK's leading Defence & Security practices, working on high impact programmes that support national security and help government organisations unlock value from data, AI and machine learning. You will work … alongside clients to solve complex challenges using cutting-edge AI, machine learning and data science techniques. You'll be involved throughout the project lifecycle, from understanding user needs and developing prototypes through to deploying scalable, enterprise-grade solutions. What You'll Be Doing Applying Data Science, Machine ...

that is growing! - from consumers around the world. Our Data Scientists in the GTM Applied AI team leverage this data to build AI/ML models that improve our go-to-market (GTM) efficiency and enhance our pricing and revenue management strategy. We are seeking a skilled Data Scientist … maintain our GTM and Pricing models. You will collaborate closely with our pricing and monetization squad and team of software developers, data analysts and ML engineers to develop, deploy, and maintain innovative AI/ML models at scale. You will be part of a unique journey where data ...

years of experience testing and launching software products, and 3 years of experience with software design and architecture. Experience in Artificial Intelligence/Machine Learning, Gen AI, and Software Engineering, including building agents, working with models, utilizing Vertex AI, and developing automation tools. Preferred qualifications Master’s degree … Intelligence (AI). In this role, you will help shape the future of businesses of all sizes using AI and Machine Learning (ML). The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail ...

event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation … skills; you’re comfortable influencing technical direction and aligning diverse stakeholders across the organization. Bonus points: Experience with machine learning infrastructure or ML Ops practices. Familiarity with event-driven architectures in a mobile-first product environment. Prior work in fashion, marketplaces, or sustainability-driven tech. Additional Information Health ...

data drives commercial lending decisions. Specifically, you can expect to be involved in: Building and optimising credit risk models, including scorecards and machine learning approaches Deploying models into production and monitoring performance over time Developing data pipelines and integrating multiple data sources into decisioning frameworks Working … closely with stakeholders to ensure models directly influence lending strategy and outcomes SKILLS AND EXPERIENCE Strong experience developing credit risk models, including scorecards and ML models Proficiency in Python and SQL for data analysis, modelling, and data manipulation Experience working with cloud-based infrastructure (e.g. AWS) Understanding of model deployment ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead … tools and processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale ...

leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands‐on experience designing, implementing, testing, and ensuring operational stability of large‐scale enterprise data platforms Advanced skills in one or more programming languages such … PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems #J-18808-Ljbffr ...

dashboards that enable customers to interact with large‐scale risk and analytics data in real time. You will work across the stack, collaborating with machine learning and backend engineers to ensure interfaces are reliable, secure, and intuitive. The focus is on building scalable UI solutions that meet strict … with backend inference APIs, behavioural signals, and analytics services Implement secure UI patterns, role‐based access controls, and compliance‐aware data presentation Collaborate with ML engineers to surface model insights and AI capabilities through well‐designed interfaces Own DevOps responsibilities for front‐end services, including build pipelines, deployment, monitoring ...

Data Control Manager, you will help shape the future of data, privacy, Artificial Intelligence/Machine Learning (AI/ML) governance, analytics management and operational risk at JPMorganChase. You’ll join a collaborative, agile team where your expertise is valued, your voice is heard, and your career ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description As our AI practice scales, we are seeking an experienced AI Architect/Engineer to act as the senior technical … insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied ...

Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will … high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business ...

Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will … high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business ...

paced environment. A proactive, self-driven mindset with strong collaboration skills across technical and commercial teams. Nice to have experience: Experience with AI or machine learning-powered fraud detection platforms. Knowledge of cryptocurrency, blockchain technology, or digital asset ecosystems. Experience with SQL, Python, or scripting languages. Familiarity with … solutions. Experience working with enterprise financial institutions or fintech organizations. Technologies we use: REST APIs Webhooks SQL Python Cloud-native SaaS platforms AI/ML fraud detection platforms CRM and customer success tools AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. ...

leading‐edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands‐on experience designing, implementing, testing, and ensuring operational stability of large‐scale enterprise data platforms Advanced skills in one or more programming languages such … PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems We recognize that our people are our strength ...

driven products that help organisations make better decisions in complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data … role in building commercially valuable products while helping shape the future of data and AI across a global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning ...

driven products that help organisations make better decisions in complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data … role in building commercially valuable products while helping shape the future of data and AI across a global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning ...

work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems. Perform data analysis and data collection processes that effectively support these services. … Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative ...

delivery pipelines. Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. … Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

with sales teams and clients to assess their needs and design a full solution, including performance, scaling and security requirements—often involving AI/ML systems that aligns with their business objectives and integrates seamlessly into their existing IT infrastructure. This role is for you if you have: Proven experience … strategies. Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration. Understanding of data science principles, enabling informed evaluation of machine learning and statistical models. What you'll receive from us: No matter where you may be in your career or personal life ...