976 to 1,000 of 4,114 Machine Learning Jobs in England

work and finding a balance between perfection and practicality.FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization … including strong knowledge of database structure and efficiency.* Proficiency in the following version control language: Git* Proficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy* Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.* Experience ...

hands-on role within our team. You’ll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient … evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you’ll do: Build highly available automation workflows ...

hands-on role within our team. You’ll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient … evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective.What you’ll do:Build highly available automation workflows and orchestrators ...

C++, with C# also in the estate. Around it sit custom electronics with their own firmware and embedded operating systems, AI and machine learning workstreams, and an emerging interest in connected and cloud enabled services. Cyber security, and the Cyber Resilience Act in particular, is a live … exposure to Python, .NET, Java or SQL welcome Experience architecting software that controls physical hardware. This is not enterprise software. The code drives a machine that does something in the real world, and it has to interact properly with electronics, sensors and mechanics Demonstrable experience operating as a software ...

Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs … balance technology choices while delivering high-quality work within deadlines Leading architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non-technical) in partnership with ...

economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic's internal business and product decisions. … Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy ...

language, experience with Spring framework and deep understanding of JDBC and database internals.Experience with CI/CD pipelines and Distributed and Concurrent SystemsExperience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plusBeing able ...

Opportunity The Data Science team is growing at 9fin! We are doing world‐class work with groundbreaking technologies to build data‐driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … Discovery : Ability to design systems that identify comparable companies, relevant precedents, analogous situations, and related transactions using both graph structure and content signals. Graph Machine Learning : Familiarity with graph embeddings, node similarity, clustering, community detection, link prediction, and relationship scoring techniques. Production Data & Platform Engineering : Experience building ...

technical stakeholders Contribute to improving AI development practices and tooling through feedback and suggestions Learning & Growth Stay current with AI/ML developments, emerging frameworks, and best practices Learn from more experienced engineers and contribute knowledge back to the team Participate in capability‐building activities and knowledge‐sharing sessions … proficiency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and familiarity with containerization (Docker, Kubernetes) Solid understanding of ML fundamentals, model evaluation, and performance optimisation Good communication skills with ability to collaborate effectively across teams Data engineering capability, including working with datasets, ETL pipelines ...

worldwide.The OpportunityThe Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … Precedent Discovery: Ability to design systems that identify comparable companies, relevant precedents, analogous situations, and related transactions using both graph structure and content signals.Graph Machine Learning: Familiarity with graph embeddings, node similarity, clustering, community detection, link prediction, and relationship scoring techniques.Production Data & Platform Engineering: Experience building and operating ...

/continuous delivery, application resiliency, and security practicesDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile)Working knowledge of the Software Development Life CycleHands-on experience using enterprise-authorized AI-assisted software development tools within … expectationsPreferred qualifications, capabilities, and skillsFamiliarity with Python for backend services or toolingExposure to cloud technologies and infrastructure-as-code practicesExperience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use casesJ.P. Morgan is a global leader in financial services, providing strategic advice ...

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs … balance technology choices while delivering high-quality work within deadlines Leading architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non-technical) in partnership with ...

Overview At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision‐making. We work across product, business and platform teams using analysis, experimentation, causal inference and machine learning techniques. Data Scientists report into the data science ...

DevOps Engineer to build and own the infrastructure that underpins our AI‐driven materials discovery platform. You'll work directly with world‐renowned ML researchers and software engineers to accelerate real scientific breakthroughs by making model training, experimentation, and deployment fast, reliable, and reproducible. This is a foundational hire. … configuration, job scheduling, and cost optimisation. Build and maintain CI/CD pipelines that support rapid model iteration, automated testing, and safe deployments. Support ML workflow orchestration; experiment tracking, training run management, and data pipeline reliability. Ensure reproducibility across research and production environments through containerisation and rigorous environment management. Define ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

system- Experience in external or internal customer facing, complex and large scale project management- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies- Experience building large-scale machine learning and AI solutions at Internet scalePreferred qualification - PhD in Operations Research ...

needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering continuous learning and improvement. Your Day to Day Lead advanced deep‐dive analyses to produce clear narratives on key business questions. Apply sophisticated quantitative methods such … machine learning, causal inference, synthetic controls, difference‐in‐differences, and propensity score matching. Build and evolve customer segmentation frameworks to reveal behaviorally distinct cohorts. Analyze cross‐product engagement impacts on retention, monetization, and long‐term value. Monitor key consumer funnel metrics across products, segments, and geographies. Develop business ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications.Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that automates analytical … passionate about translating complex genomic data into impactful solutions that advance translational research and precision medicine.You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications.Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that automates analytical … passionate about translating complex genomic data into impactful solutions that advance translational research and precision medicine.You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

objectives that align document understanding capabilities with diverse business needs including next-generation search and deep legal researchMentor and coach team members with varied ML/NLP abilities, building technical capability across the organizationAbout YouYou're a fit for the role of Lead Applied Scientist if you have … understanding of efficiency optimization including knowledge distillation, model compression, and designing SLM-based solutions that balance performance with computational constraintsSolid understanding of DL/ML approaches used for NLP tasksExperience designing annotation workflows, creating high-quality labeled datasets with clear guidelines, and developing evaluation frameworks for document understanding tasks#LI-JB2What ...

Overview AI/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment … monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active area of UK ML hiring in 2025–2026. Responsibilities Train, evaluate, and deploy machine‐learning models in production. Work across LLMs, computer vision, recommender systems ...

assessments.Review derivatives valuation and risk methodologies, including volatility dynamics, stochastic rates, jumps, correlation, curve construction, proxying, aggregation, and risk decomposition.Assess statistical, data science, and machine learning approaches where relevant, including calibration quality, feature engineering, validation metrics, explainability, and monitoring.Review implementation and data lineage, including upstream dependencies, market data … Credit, Commodities, or structured products.Experience with Monte Carlo simulation, finite difference or partial differential equation methods, curve construction, volatility surface modelling, regression, clustering, optimisation, machine learning, or model performance monitoring.Experience building reproducible quantitative analysis in Python, including data cleaning, visualization, statistical testing, benchmarking, and automation.Experience using AI-assisted ...

British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities: Support the development and implementation of AI/ML solutions ensuring alignment with Army training objectives and Omnia architecture principles. Contribute to the design, development, and deployment of AI/ML solutions aligned to Army … training objectives and enterprise architecture principles. Support the development and maintenance of ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation. Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints. Monitor deployed models, analyse performance metrics, and implement ...

improved decision making on the trading desk. The analysis team develop and run a wide range of forecasts, using different methods such as machine learning, optimisation.**What you’ll be doing**Shell Energy Europe is looking to hire a data scientist to support the Power Fundamentals team … experience:* Have a graduate qualification in an analytical or science-based discipline e.g., engineering/maths/computer science and ideally a PhD in machine learning, optimisation or equivalent* End-to-end experience with data, including querying, aggregation, analysis, and visualization* Strong competencies in Python for data analysis ...