901 to 925 of 4,114 Machine Learning Jobs in England

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 ...

Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).About the roleYou will help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such … practical coding guidance.You understand supervised, unsupervised, Bayesian, and deep learning methods, and can apply them to real-world scientific questions.You have experience with ML infrastructure, reproducible research, Linux or HPC environments, and software or platform development.You communicate clearly with scientific, technical, medical, and business partners, and enjoy working ...

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 focuses heavily … site and/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; ideally ...

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 ...

Development Centre (London) Limited The Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. As part of this team … fast to deliver breakthrough experiences while maintaining the highest scientific rigor. Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language ...

right moment — and measures whether it worked.Here’s how you’ll be contributing to CRM:You will design and maintain the data pipelines and ML-ready tables that power feature generation, model training, inference and impact measurement – with clear ownership of data quality, reproducibility and training-serving consistency.You will help … expert knowledge of SQL and can write, debug and optimise complex queries against a warehouse. You have hands-on experience shipping and operating predictive ML models or recommendation systems in production (classification/propensity/churn/next-best-action) — end-to-end from feature pipelines (SQL or feature store ...

technical work such as model development, experimentation, code review and solution architecture.You will lead the design and development of the team’s AI and ML solutions, choosing the right approach for each problem, with large language models and agentic AI increasingly central to the work.You will bring mathematical and statistical … scientific approach and solution quality.In this role you will be responsible for:Leading the design and development of the team’s AI/ML solutions, and framing business problems so that the right approach can be chosen and the result measured against clear success criteria.Leading the design of generative ...

enhance team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications:Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep … communication skills and ability to work in a collaborative environmentCare about the societal impacts of your workPreferred Experience:Work on high-performance, large-scale ML systemsFamiliarity with GPUs, Kubernetes, and OS internalsExperience with language modeling using transformer architecturesKnowledge of reinforcement learning techniquesBackground in large-scale ETL processesYou'll thrive ...

Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.Drive cross-functional … build end-to-end technical solutions, from concept to production.Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.What excites youDriving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.Mentoring ...

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 ...

products reliable, scalable, and fast. This is a high-ownership role where your decisions directly affect developer velocity and production stability.Build and maintain robust ML pipelines for training, deployment, and monitoring Develop backend systems and APIs that integrate AI into our SaaS platform Take ownership of the ML performance, monitoring … availability, and security Collaborate with ML engineers, data engineers, and product teams to deliver features end-to-end Contribute to architecture decisions for scalable, cloud-native ML infrastructure Stay up to date with the latest in MLOps practices and tools, and bring improvements into the workflow QualificationsMust-Have QualificationsBachelor ...

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 ...

novel approaches such as graph networks, anomaly detection, and behavioural signals into production where they create real impact. Who you are End-to-end ML ownership across the full stack: data engineering, feature development, model design, training, low-latency production deployment, monitoring, and retraining. Strong instinct for when a model … ready for production and when it is not. Proven track record of building ML models and pipelines from scratch, not integrating or extending someone else's product or tooling. Experienced building real-time or near-real-time inference systems; batch pipelines alone are insufficient. Comfortable with large-scale datasets including ...

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 ...

Kubernetes. Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management. Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements. Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through … Slurm, PBS, or Bright Cluster Manager. High-performance networking technologies including RDMA and InfiniBand. MPI and distributed file systems. Cloud-native architectures. AI/ML platforms, Large Language Models (LLMs), inference services, and AI infrastructure. Required SkillsCloud & InfrastructureOracle Cloud Infrastructure (OCI) Cloud Architecture Infrastructure as Code (IaC) Terraform Ansible Kubernetes ...

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 ...

technical stakeholders. Develop practical software engineering skills through structured mentoring. Technology Exposure You'll gain experience across: Artificial Intelligence (AI) Machine Learning (ML) Natural Language Processing (NLP) SaaS & Cloud Technologies IoT & M2M Solutions Unified Communications (UCaaS) Contact Centre Technologies (CCaaS) Enterprise Software Cyber Security & IT Infrastructure ...

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 DescriptionAs our AI practice scales, we are seeking an experienced AI Architect/Engineer to act as the senior technical authority shaping …/sell option.Private medical 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.Why join:You will be a founding technical voice in a practice that is investing decisively in AI. The work ...

part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with … data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. ...

part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with … data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. ...

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 ...