1,301 to 1,325 of 4,967 Machine Learning Jobs in England

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 ...

Title Senior AI Engineer - Machine Learning (Computer Vision) Location North London - hybrid Salary £650 per day outside IR35 Length 6 months About the Business Our client is a leading digital commerce organisation undergoing a significant technology transformation. This is an exciting opportunity to join a business … forefront of AI adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth. The Senior AI Engineer - Machine Learning (Computer Vision) Opportunity Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative ...

solutions within a dynamic environment. The role focuses on building and deploying machine learning models, primarily in Gen AI and classical ML, supporting the company's innovative projects. Our client specialises in AI and ML services and maintains a collaborative, business-oriented culture that values technical excellence … across full-stack AI development. Responsibilities include prototyping models, developing production pipelines, and ensuring deployment success. Success in this role means delivering robust, scalable ML solutions aligned with business needs. Key Skills & Experience Lead development of machine learning models, from initial prototyping to deployment. Manage full lifecycle including ...

Marshmallow's most important customer touchpoints, and we're looking for a Principal Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What … across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking ...

have the opportunity to work across areas including: Solution and Enterprise Architecture Application and Integration Architecture Data Architecture and Engineering Cloud and Infrastructure AI, Machine Learning and GenAI Cyber Security Digital and technology transformation You'll help define current-state and target-state architectures, technology roadmaps, integration patterns … governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients and senior stakeholders Experience with industry platforms such ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative … environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative … environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative … environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing ...

meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends and improvement … opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...

defence capabilities. This is a hands‐on role suited to someone who understands modern security engineering and has a strong interest in AI/ML technologies, LLMs, automation, and risk management. What you’ll be responsible for Design and implement security controls for AI and machine learning solutions … security domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response. Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks. Experience securing cloud environments and modern development ...

intelligence and data-driven methodologies to healthcare challenges. The successful candidate will work within a collaborative research environment, contributing to projects that leverage AI, machine learning, and data analytics to improve healthcare delivery, diagnostics, and patient outcomes. The role involves developing novel computational models, analysing complex healthcare datasets … engagement. Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Demonstrated experience in AI, machine learning, or data science research Experience working with healthcare or biomedical datasets (desirable) Strong publication record or evidence of research outputs Ability ...

data mesh principles, federated governance, and scalable domain‐oriented data ownership models Experience designing platforms and architectures to support AI‐native use cases, machine learning systems, agentic workflows, and intelligent software platforms Strong understanding of real‐time and event‐driven architectures, including streaming data systems and low‐latency … orchestration, governance, and scalable data product design Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling Strong commercial acumen and ability to engage credibly with senior technical and business stakeholders Experience leading major ...

Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows … government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer ...

Enhance Agility: Drive adoption of modern engineering practices that improve developer experience and productivity Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities Strategic Technical Vision: Anticipate future scalability challenges … before they become blockers (e.g., handling 10x growth in transaction volume) Evaluate emerging technologies and recommend when/how to adopt them (e.g., new ML frameworks, database technologies) Balance technical excellence with pragmatic delivery, knowing when "good enough now" beats "perfect later" Ownership & Accountability: Own critical systems ...

there's no telling what you could accomplish. The company is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team works with teams across the company to develop state-of-the-art privacy-enhancing technologies for measurement and machine learning. … generative AI systems while preserving user privacy. Operate independently to solve complex problems at the intersection of privacy-preserving technology, applied cryptography, and machine learning. Employ strong technical background and experience in developing software on iOS or similar resource-constrained systems. Demonstrate strong interpersonal skills, including ability to influence ...

Description As an innovative data scientist in . Morgan Asset Management's Data Science team, you will design and implement ML solutions to enhance investment processes, elevate client experiences, and streamline operations. Initially, you will be focused on developing solutions to support our ESG and Stewardship functions with a heavy … Advanced degree (MS or PhD) in a quantitative or STEM discipline or significant practical experience in industry. Commercial experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, personalisation, classification, recommendation or forecasting. Advanced python programming skills with ...

infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. … value — agents that use tools, orchestrate multi‐step workflows and behave reliably in production. You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals — you write clear, tested, maintainable Python code that others can build on Fluency with ...

unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain to get those models running within live products and workflows. … right place for you. What you'll be doing Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools ...

collaborative environment with plenty of ownership and exposure to cutting-edge technologies. The Role Build scalable data pipelines using Microsoft Fabric and Databricks Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction Work with structured, semi-structured, and document-heavy datasets Create reusable data … Data Engineering Hands-on expertise with Microsoft Fabric and Databricks Advanced Python and SQL skills, with PySpark desirable Experience building data pipelines and machine learning models Knowledge of NLP, entity resolution, or document processing is advantageous Strong communication skills and commercial awareness ...

running regular tabletop/purple-team exercises and postmortem improvements. A major focus is driving AI security and internal AI governance: integrating LLMs/ML into SOC triage and anomaly detection, defending AI attack surfaces (agent activity, prompt injection, machine identities), hardening against AI-driven threats (phishing-resistant … similar — used to remove toil, and a track record of expanding coverage without proportional headcount growth. A working understanding of AI and machine learning security: how these systems fail, how they're attacked, and how attackers use them. Demonstrated success working with customers on security reviews, audits, escalations ...

unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain to get those models running within live products and workflows. … forward, Oritain is the right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical ...

job. Our customers are asset managers, banks, and financial data firms who need reliable data extracted from documents that were never meant to be machine‐readable. The role You’ll be a data-obsessed super‐IC managing a fleet of AI agents. This role is for someone … intensity is high, learning is faster) Founders Aleksi (CEO) — Cambridge engineering + ML. Co‐founded Secondmind, founding team at Sylvera. Previously worked on ML with Carl Rasmussen at Cambridge. Krista (CCO) — Former Head of Market Intelligence at Climate Bonds Initiative. Deep sustainable finance and capital markets expertise. Small team ...

Требования 5+ Years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise software Experience in analytics, data, machine learning, AI, or other technical product domains Strong understanding of how users interact with data and analytics products to answer questions, generate insights … technical stakeholders to define requirements, prioritize work, and deliver products iteratively Strong familiarity with generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered experiences Understanding of retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns Strong analytical and problem ...

Skills Senior product management experience for technical platform or infrastructure products, delivering complex roadmaps in regulated environments with minimal oversight. Strong understanding of the machine learning lifecycle and what it takes to move models and AI applications from experiment to production. Outstanding stakeholder management and influence; builds trust … requirements into product strategy and execution. Excellent written and verbal communication skills in English. Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval ...

/ELT tools such as Fivetran or Airbyte Experience designing and operating production data pipelines, including CI/CD practices for data and ML workflows Strong engineering fundamentals: version control, testing, monitoring and documentation Comfortable working directly with AI coding assistants (e.g. Claude, Claude Code, GitHub Copilot) as part … deterministic or probabilistic matching pipelines Experience with event streaming architectures (e.g. real‐time ingestion, sub‐second/sub‐minute latency pipelines) Exposure to productionising machine learning or forecasting models (e.g. XGBoost, AutoGluon, Meridian, Robyn) built by data scientists Experience with reverse ETL and activation into media ...