2,451 to 2,475 of 7,735 Machine Learning Jobs in the UK

strategic and operational objectives.The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization.This position reports to the Senior Director, ERP Technology & Operations.Key ResponsibilitiesEnterprise Data & Analytics StrategyDefine … controls and regulatory requirements.Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions.Innovation, AI & Continuous ImprovementIdentify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics.Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies.Foster a culture of innovation ...

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 ...

Qualifications:1–3 years of professional experience writing clean, preferably in modern C++, with a strong grasp of memory management and multi-threading.AI/ML Familiarity: Academic or professional experience working with machine learning libraries and frameworks.Interest in trading and financial markets.Ability to work in a fast-paced ...

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 ...

cell sequencing, proteomics or advanced bioimaging data. - Track record of publications or conference presentations in relevant scientific areas. - Experience building automated pipelines and applying machine learning in biology. - Demonstrated leadership of projects and mentoring of junior staff. Work Pattern This position is offered as hybrid working, combining time … Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering Germany Salary Range/Gehaltsbandbreiten Deutschland: EUR 74,250 to EUR 123,750The annual gross base salary range for new hires in this ...

years of professional experience writing clean, preferably in modern C++, with a strong grasp of memory management and multi-threading. AI/ML Familiarity: Academic or professional experience working with machine learning libraries and frameworks. Interest in trading and financial markets. Ability to work in a fast-paced ...

Design and build scalable data pipelines powering AI models, machine learning workflows, and intelligent product capabilities Own the reliability, performance, and operational excellence of production data platforms Develop ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies Implement monitoring, alerting, testing, and data … systems, resolving complex issues, and improving platform reliability Strong understanding of data quality, governance, lineage, security, and auditability Experience or strong interest in AI, machine learning, MLOps, or large language model technologies Proven ability to influence technical decisions, mentor engineers, and drive engineering best practices Core Competencies Demonstrates ...

Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands-on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep … data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting-edge technologies. Preferred Qualifications Salesforce Expertise - Hands-on experience with Salesforce Agentforce ...

model reuse, version control, and deployment efficiency. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute … Physicalised data models and data products build Contribute to client proposals, RFP responses, and thought leadership related to enterprise data modelling and AI/ML readiness. Skills and attributes for success We’re looking for people with a passion for the delivery of data technology solutions that deliver positive outcomes ...

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 ...

without the right engineering layer, they never reach end users. That is where you come in. You will help build the “last mile” between machine learning and clinical application, turning models into reliable, scalable and usable products that support clinical trial teams in making better decisions. What … support and well-being)Remote or hybrid workingWhat You'll Be DoingBuild the integration layer for AI solutions Develop services and APIs that enable ML models to be deployed and consumed within the platform Translate data science outputs into production-ready components Full stack application development Implement frontend and backend ...

cyber 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 forDesign and implement security controls for AI and machine learning solutions, including … core 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 workflows ...

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. ...

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 ...

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 ...

like "help our agent handle conversations in multiple languages") and turn them into scoped, shippable projects. Strong product mindset: Prioritise product thinking over pure ML technique, optimising for customer and business value rather than model performance for its own sake. Build robust evaluation infrastructure : Create and maintain eval suites drawn … bring Professional software engineering experience, with a meaningful focus on Machine Learning, NLP, or applied AI. At this time, we need the ML/applied AI experience as a non-negotiable requirement for this role. Experience shipping products to real, live customers, not just internal tools or prototypes ...

Role overview The Senior Data Scientist will lead the development of advanced analytical and machine learning solutions, guiding others in data science methods and ensuring outputs are robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking.You will work with multidisciplinary teams across … users. Key responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers ...

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 ...

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 ...

cost optimisation.Provide technical leadership, architecture governance and design documentation across data initiatives.Develop data quality, governance, metadata and data management frameworks.Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality.Translate complex technical concepts and data insights into clear recommendations for senior … equivalent.Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture.Experience with data governance, data quality and metadata management.Exposure to AI/ML integration within data solutions and an understanding of AI governance.Experience with visualisation platforms such as Power BI, Tableau or Looker.Strong SQL and data engineering capabilities.Excellent communication ...

Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI/Machine Learning. Company: Our client is a globally established data and information services business, operating across multiple high-value industry sectors. They have established data … science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos ...

hybrid cloud transformation solutions.Responsibilities: Design, architect and lead the delivery of AI-ready infrastructure platforms that enable large-scale machine learning (ML), generative AI (GenAI), agentic AI and high-performance computing (HPC) workloads.The successful candidate will be responsible for defining AI compute architectures across on-premises, colocation ...

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 ...

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 ...