1,876 to 1,900 of 6,391 Machine Learning Jobs in the UK

standards, and emerging risk practices, and translate them into actionable program enhancements. You’ll need to have: 10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI. 4+ years of experience directly focused …/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability ...

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 ...

continuous improvement. Support vendor evaluation and strategic technology partnerships where appropriate. What You BringSignificant 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 ...

automate office tasks within the Finance function. This is accomplished with the full suite of existent and emerging digital technologies, e.g. cloud computing, machine learning, digital robots and AI/copilot-enabled programming. Work with the Finance Transformation team, and the Finance Automations Product Manager, to ensure that …/or Power Query) Experience in presenting data analysis and creating reports Experience in Power BI report creation and maintenance Experience in ML-based data analysis and decision-making Understanding of the importance of data modelling for modern digital solutions, especially machine learning analysis Working Methods Ability ...

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 ...

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 ...

innovative Data team. You will join a collaborative team of data andAI engineers, scientists, developers, analysts, and architects. Together, youwill design and build modern machine learning and AI services that supportanalytics and improve products across the business. Main Responsibilities for the Senior Data Engineer: Buildand support data products … standards Maintainorchestration, monitoring and performance of data components Improveengineering processes across the wider data community Promotehigh coding and data practice standards Experimentwith emerging data, ML and AI technologies Partnerwith architects on data product designs Workcollaboratively in multi-functional agile squads SupportML and GenAI infrastructure and workflows Skills and experience ...

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 ...

this role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love … about our vision: Agentic AI for Data AnalysisRequirementsMS or Ph.D. in Computer Science, Mathematics, or a related fieldStrong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn)Hands-on experience evaluating pre-trained models, and fine tuning or training modelsExperience ...

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 ...

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 ...

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 ...

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 ...

high‐stakes decisions. Our work is highly interdisciplinary, drawing on methods from computational social science, AI safety and security, cognitive and behavioural science, machine learning, and data science. Typical projects include running rigorous human‐AI interaction studies and randomised controlled trials, building evaluations and benchmarks that track … Docker, Kubernetes, or AWS primitives – production experience preferred Writing scalable and maintain able production code in (at least) Python Experience building or finetuning an ML model, ideally an LLM , using common libraries like PyTorch , Keras , JAX, or custom code Experience shipping an AI safety pipeline to production (e.g. evaluations, monitoring ...