1,276 to 1,300 of 4,965 Machine Learning Jobs in England

machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live ML models (credit, recommendation, and ranking logic). Monitor model health and drift, ensuring operational stability without needing to rebuild underlying architectures. Monitor the UK/… Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven expertise in retraining, monitoring, and debugging live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud ...

machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live ML models (credit, recommendation, and ranking logic). Monitor model health and drift, ensuring operational stability without needing to rebuild underlying architectures. Monitor the UK/… Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven expertise in retraining, monitoring, and debugging live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud ...

Role Overview We are seeking a Clinical Scientist with a background as a physician‐scientist in oncology to join our multidisciplinary Artificial Intelligence and Machine Learning (AIML) team. This position offers a rare opportunity to shape the future of medical research by directly integrating clinical expertise with pioneering … data. Skills: Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Predictive Modeling, Python (Programming Language), Test Documentation. Why GSK? Uniting science, technology and talent to get ahead of disease together. ...

blog posts, and white papers. You will also have the opportunity to work with our product and engineering teams to build new statistics/ML features for all of Optimizely’s products. You will have also have the opportunity to partner with experts in academia and research to explore … Optimizely should invest in. Job Responsibilities Product and Feature Development Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the platform. ...

detection measurement framework, defining metrics and evaluation strategies for problems where ground truth is noisy, delayed, or contested. Drive adoption of promising AI/ML techniques and represent Cloudflare in the broader research community. Drive cross-functional partnerships with ML Engineers, Data Engineers, and Product; Influence roadmaps and align detection … problem, and are fluent with large-scale data. You have at least 8-10 years of experience professionally working in Data Science, ML Engineering, or Software Engineering. Demonstrated ability to make ambiguous, high-stakes technical decisions with incomplete information. You are very comfortable with Python & SQL in production environments. Bonus ...

apply even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands … algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling ...

leader to define and execute our global Applied AI strategy. You will sit at the intersection of business strategy, engineering, data architecture, AI/ML and enterprise risk management, with accountability for turning AI from isolated experimentation into a scalable, controlled and commercially valuable capability across the group. … value realisation of AI use cases at enterprise scale. What you offer Significant experience in senior technical leadership roles across software engineering, data architecture, machine learning, applied AI, AI platform engineering or related disciplines. Deep understanding of distributed systems, enterprise data architecture, cloud platforms, application programming interfaces ...

SARL (UK Branch) Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have GenAI/ML or PhysicalAI background in the startup space, with the technical skills necessary to assist startups in running custom models? Do you love building new strategic … lighthouse customers, drive top-line revenue, and explore partnerships for the most strategic GenAI and PhysicalAI startups at AWS Collaborate with AWS AI/ML Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan Develop and deploy programs that leverage ...

growth - from credit risk and customer retention to personalised recommendations. You’ll become Raylo’s technical and strategic leader on: The cutting edge of ML and AI model development, applying the very best of what’s possible to Raylo’s hardest problems. Collaborating with teams across the business, to identify … Reporting to the VP of Strategy & Analytics, you’ll define and lead Raylo’s data science function, deploying cutting edge AI and ML to solve Raylo’s hardest problems You’ll own end-to-end design, build and deployment of production-grade machine learning models - from credit risk ...

dynamic and passionate compact team dedicated to creating a SaaS solution to boost eCommerce revenue. We are selected as one of the 25 Machine Learning Startups to Watch by Forbes magazine. We are one of the fastest growing start-ups in AI based e-commerce solutions with multiple … object-oriented fashion Experience designing fault-tolerant, multi-region deployments in cloud environments is a plus Familiarity with recommendation algorithms, ranking, personalization, or ML integration into production microservices Hands-on with Solr/Elasticsearch/OpenSearch for large-scale product search is a plus Strong knowledge and focus on observability ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial …/EPOS, digital, social and loyalty. AI Delivery Excellence – Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions. Programming Experience - Skilled in using programming languages such as Python Cloud Expertise - Knowledge of cloud platforms and tools ...

data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch Please note During periods where we receive very high ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands‐on contributor, working closely with experienced engineers to build reliable, high‐performance systems across devices, cloud platforms, and applied ML, contributing to real‐world, field‐deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

design discussions and supporting client engagements with technical expertise. You will deliver end‐to‐end solutions, from building data pipelines and deploying AI/ML workloads to provisioning infrastructure and automating deployments through CI/CD. This is a London‐based role. Responsibilities Implement, deploy, and maintain Google Cloud infrastructure … maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer Implement and support AI/ML platforms on Google Cloud, including Vertex AI, Model Garden, and Gemini‐based tooling, contributing to Agentic AI solutions Support cloud migration and modernisation initiatives using lift ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the team the company is the UK market leader in real rate risk … learn from and contribute to the body of knowledge Key Skills Experience using Python (pandas, numpy, scikit-learn) and SQL Theoretical understanding of core ML techniques and statistical principles Strong numerical and analytical skills, comfortable working with large datasets Confident communicator and contributes effectively within a team environment Self-driven ...

beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

engineering consultancy delivering cutting-edge solutions across the Defence, Security and Government sectors . This is an excellent opportunity for A I Engineer, Machine Learning Engineer, Data Scientist or Algorithms Engineer to combine hands-on technical delivery with technical leadership, customer engagement and business development. Working alongside multidisciplinary … teams of engineers and scientists, you'll lead the design and delivery of advanced AI, Machine Learning and Algorithmic solutions , helping solve complex challenges for Defence and Security customers. Responsibilities: Lead the technical delivery of AI, Machine Learning and Advanced Algorithm projects. Act as technical lead ...

Product Data Scientist to join our Insights team to support our Shipping Team. You’ll partner closely with product, operations, engineering, and machine learning to deliver insights, drive experimentation, and shape how every item moves from seller to buyer. This role sits at the intersection of technical depth … first consumer products Experience in shipping, logistics or marketplace unit economics Experience working with machine learning teams or embedding data science in ML-powered product features Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle ...

improvement.* Support vendor evaluation and strategic technology partnerships where appropriate.**What You Bring*** Significant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines.* Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments.* Strong understanding … Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities.* Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data-driven product development would be highly beneficial.* Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

improvement. Support vendor evaluation and strategic technology partnerships where appropriate. What You Bring Significant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines. Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments. Strong understanding … Strong analytical, problem‐solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities. Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data‐driven product development would be highly beneficial. Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

architectures to executive boards and governance forums Priority Skill AI We are looking for experienceacross several ofthe following skills and experience: AI/ML architectural patterns,best practices, and platform technologies Experience designing AI/ML-driven solutions and data lifecycle management Data solution design,selecting theappropriate cloud-nativeservices … Foundational certifications in AWS and/or GCP Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML(e.g., AWS Certified Machine Learning Specialty) Whats in it for you At Accenture in addition to a competitive basic salary, you will also ...

automate, or accelerate parts of the simulation workflow (e.g. automated case setup, intelligent meshing decisions, workflow orchestration across CAD–mesh–solve–post) AI/ML for model training and inference — how machine learning models are trained on simulation data and used for fast inference (e.g. surrogate/reduced … order models, ML-assisted design space exploration) You don't need deep expertise in both — authentic curiosity and working familiarity with either is a strong differentiator on top of solid CFD fundamentals. Key Responsibilities The Application Engineer is expected to work closely with current and potential customers to understand their ...

delivery processes from the ground up Building and leveraging AI technology to enhance product features and development workflows We build with technology like: Python & ML/LLM ecosystem — service based solutions Event-driven — real-time data driven solutions Cloud deployments — Azure, Kubernetes, ArgoCD High-performance data & messaging — Graph, Vector, Postgres … Private Dental Insurance Group Income Protection Group Life Assurance 24-hour mental health support Equity Scheme (coming soon!) RequirementsStrong experience delivering production AI/ML systems, supported by excellent software engineering fundamentals.Strong programming skills in Python and experience with typed application languages such as TypeScript.Practical experience with modern ML ...

Living Wage accredited Employer. What You'll Do: CoreWeave’s Physical AI team is building the essential cloud platform for AI innovators, applying machine learning to solve previously intractable physics and engineering challenges. We operate at the intersection of advanced cloud infrastructure, artificial intelligence, and applied data science … turning complex technologies into products, platforms, or customer outcomes. High versatility with a proven ability to work across multiple technical domains, such as ML modelling, generative AI, agentic workflows, robotics, advanced manufacturing, cloud infrastructure, or data engineering. Strong technical fluency with the ability to confidently discuss APIs, architecture diagrams, deployment ...

Define the architectural vision for Superscript’s data platform, ensuring it scales with our business and supports diverse use cases including BI, ML, and real-time analytics. Write and review high-quality, production-grade code in Python, SQL, and IaC (Terraform) that sets the standard for engineering excellence. Design …/CD, testing frameworks, version control (Git), and containerisation (Docker/Kubernetes). Strong background in data modelling, warehousing, and supporting analytical and ML workloads. Exposure to MLOps tools including MLFlow, kedro and Amazon Sagemaker. Development and maintenance of real time products like APIs using FastAPI/Flask. Operates autonomously ...