151 to 175 of 6,121 Machine Learning Jobs in the UK

Data practice, we work with leading organisations to transform how they manage, govern, and utilise data, creating the trusted foundations required for advanced analytics, machine learning, and emerging AI capabilities. As a Databricks Data & AI Engineer, you'll design, build and optimise scalable data & AI solutions using … Databricks Platform, enabling advanced analytics, machine learning, and AI. Working alongside leading architects, engineers, and AI specialists, you'll help clients modernise their data platforms and create the trusted foundations that power intelligent decision‐making. We're looking for practitioners with a passion for building scalable, high-performance ...

site. Engineering platforms, databases, and data pipelines as part of broader delivery solutions. Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc. Writing or supporting software solutions that implement data science models, tools, and techniques. About the role … interrogate data. Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding. Use data science techniques, including ML/AI, to design and build solutions to customer problems, and work with software developers, data engineers and testers to implement and assure them. Work with ...

complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets Leading a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment with the support … data quality assessments and validation activities to ensure analytical outputs are accurate and reliableContribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilities Support the implementation of advanced analytical and AI-driven solutions where appropriate Stakeholder Engagement Communicate analytical findings clearly ...

solutions that enable analytics, automation, and AI-driven business outcomes. Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads. Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards. Collaborate with stakeholders and technical teams to promote … best practices in SQL, Python, data modelling, and AI development. Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices. Unfortunately we are unable to progress ...

risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche … historical market data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence ...

your expertise in AWS analytics and data integration services to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service … governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Amazon SageMaker (and related AWS AI services) to operationalise models and drive ...

balancing multiple priorities Professional-level English proficiency Nice to have Expertise in specialized analytics domains such as econometrics or marketing mix modeling Cloud or machine learning certifications Familiarity with containerization platforms like Docker or Kubernetes We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

standardsand in achieving successful clientoutcomes. We are open, honestand communicate in a jargonfree, collaborative way, with all ourteams being agile and curious, andcontinuously learning to achieveour purpose. We believe that ifwe achieve our purpose theneverything else will follow. Clever with data... combining data,insight, and action to drive value … delivery of client analytics and modelling work,with fewer platform-related blockers Continued improvement of Sagacity’s Product Suite through arobust, scalable data and ML platform Ability to take accountability and ownership for client and internal Work as part of the Data & Analytics team, providing knowledgetransfer, peer reviews and mentoring ...

machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools … innovative solutions using AI & Cloud. What You'll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems. Data Science: Conduct ML experiments using programming languages with machine learning libraries. GenAI: Leverage generative AI to develop innovative solutions. Optimisation: Optimise machine learning solutions ...

track record of shipping models to production and supporting them post-deployment.* Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms … testing, and monitoring to support reliable model deployment and maintenance.* Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems.**EDUCATION** Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience.**WHAT ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

checks and technical documentation; exposure to version control and CI/CD is useful. Data Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI‐enabled analysis. Translating model outputs into ...

modernization programs. Knowledge of data governance frameworks and regulatory requirements. Familiarity with real-time streaming platforms such as Kafka and Azure Event Hub. Understanding machine learning and advanced analytics platforms. Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related discipline. Industry certifications ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range … learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with ...

proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating ...

Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines. Hands-on experience with object-oriented software development using languages such ...

large or complex datasets. Experience integrating internal and external APIs, services and data sources into applications. Good working knowledge of data, AI and machine learning concepts. Experience building or integrating AI-powered features into web applications, tools or business workflows. Familiarity with generative AI tools and coding assistants ...

enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness ...

execution gaps. Exposure to AI‐ready data platform concepts, including metadata enrichment, document/data automation, unstructured data processing, RAG patterns, or AI/ML enablement would be beneficial. Knowledge of Research, Capital Markets, Global Markets, client analytics, readership, CRM, revenue, or market data domains would be beneficial. Why This … want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. If you’re passionate about helping clients and building deep, lasting ...

paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry … advantage in data and AI capabilities. Serve as a trusted advisor to leadership on strategy, AI-readiness, and data infrastructure investment decisions. Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value. Define, monitor, and enforce data quality ...

across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch businessDevelop and deploy machine learning ...

deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern … frameworks, and industry trends relevant to intelligent application development Required Skills 5-8 years of Python development experience, with 2+ years of AI/ML development Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI Experience with API development, integration, and web services in production ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Mentor more junior ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Mentor more junior ...