376 to 400 of 956 Machine Learning Jobs in the UK excluding London

with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like RabbitMQ, Kafka. * Understanding of GraphQL, gRPC, or WebSockets. * Previous experience in architecting data-intensive or AI/ML-based systems. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you are looking More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

documentation and communication skills to support team alignment and client interactions. Passion : Enthusiasm for automation, API-driven solutions, and creating user-centric experiences. Desirable Skills Experience with AI/ML integration for lead scoring or customer segmentation. Knowledge of additional cloud platforms (e.g., Google Cloud, Azure) or containerisation (Docker, Kubernetes). Familiarity with Ideal Postcodes API or similar geolocation services. More ❯

with team leadership responsibilities. Extensive knowledge of the Azure analytics ecosystem and core Azure data technologies. Strong programming skills in C#, SQL, PowerShell, and Python. Experience in AI/ML implementation within Azure environments. Confidence in both strategic planning and hands-on delivery. Strong stakeholder engagement skills and experience in Agile environments. Technical credibility in architectural decision-making and governance More ❯

and problem-solving skills, with the ability to translate complex data into clear, actionable business insights. Demonstrated proficiency in Python/R or other tools for advanced analysis and Machine Learning. Business Intelligence & Visualization: Extensive skills in leading BI tools such as Power BI (preferred), Tableau, or Looker Studio. E-commerce and Digital Marketing Platforms: Strong experience analysing e More ❯

different audiences (including writing specs, knowledge base articles, and release notes) You have experience and/or desire to develop skills in the areas of accessibility, using AI/machine learning, use of data analytics, accessibility, mobile app development You love solving problems, have an inquisitive mind, and are highly logical and technical in your thinking and approach … experienced and successful colleagues and leaders We promise to offer career development and progression opportunities as the business continues to grow We provide access to a wide variety of learning resources & materials (including LinkedIn Learning licence), plus an individual annual training budget which can be spent towards your own professional development Competitive base salary Great benefits including a More ❯

different audiences (including writing specs, knowledge base articles, and release notes) You have experience and/or desire to develop skills in the areas of accessibility, using AI/machine learning, use of data analytics, accessibility, mobile app development You love solving problems, have an inquisitive mind, and are highly logical and technical in your thinking and approach … experienced and successful colleagues and leaders We promise to offer career development and progression opportunities as the business continues to grow We provide access to a wide variety of learning resources & materials (including LinkedIn Learning licence), plus an individual annual training budget which can be spent towards your own professional development Competitive base salary Great benefits including a More ❯

systems. THE ROLE Develop and deploy iOS apps (Swift/Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK/REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong … expertise in iOS development (Swift/Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into mobile apps Security/compliance awareness (GDPR, OAuth, encryption) Exposure to backend development (Python, Java, .NET) - desirable Familiarity with Azure/AWS cloud integration - desirable Understanding of SQL/NoSQL databases - desirable … Experience with CI/CD, Docker, Kubernetes - desirable TO BE CONSIDERED... Please apply directly by emailing with your CV and availability. KEYWORDS: Contract iOS Developer, Mobile Engineer, AI/ML iOS Integration, FinTech iOS Developer, Swift Developer, Objective-C Developer, Outside IR35, Remote More ❯

biomedical data analysis. You’ll be joining a small, agile team working on projects ranging from genomic data interpretation to clinical trial optimization . Key Responsibilities: Build and deploy ML models using Python , scikit-learn , and PyTorch Work with structured and unstructured biomedical datasets (e.g. genomic sequences, patient records, imaging) Collaborate with bioinformaticians and clinical researchers to translate data into … actionable insights Contribute to the development of internal tools for data preprocessing , feature engineering , and model evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable … working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical trials Experience with Docker , Kubernetes , or cloud ML pipelines (AWS/GCP) This is a high-impact role with immediate visibility across R&D and data teams. Interviews are being scheduled soon – apply now or refer someone in your network More ❯

and static code analysis (e.g. SonarQube) to ensure quality It would be great if you also had experience with: Machine learning frameworks (e.g. TensorFlow, AWS/Azure ML) Cloud deployment and management (AWS, Azure) Containerisation (Docker, Kubernetes) Databases (relational, document, or graph) Configuration and deployment tools (Ansible) The package: £55,000 - £64,000 base Company bonus Pension scheme More ❯

energy supply chain visibility, efficiency, and intelligence. This role will be part of AWS Energy ProServe team and requires a deep understanding of AWS technologies, data architectures, AI/ML, and the broader technology ecosystem, as well as how those technologies can be leveraged to optimize the end-to-end supply chain. You will engage directly with CDOs, CDAOs, CTOs … supply chain services and offerings including AWS Supply Chain, Supply Chain Command Center (SC3) and Warehouse Automation and Optimization (WAO) • Work hands-on with new Services, including AI/Machine Learning, Serverless/Lambda IoT, Analytics (Map Reduce, ETL), Data Warehouse, BI and Security Services to build products and solutions with our customers • Structure and Guide our Customer … and English PREFERRED QUALIFICATIONS - AWS Certified Solutions Architecture (Associate or Professional), or other speciality - Experience implementing services and solutions on Customer Projects using AWS Big Data, Analytics, AI/ML or Data Science solutions - Hands on experience leading large-scale global data warehousing and analytics projects. - Experience designing and coding in Python or Scala or building ETL or data ingestion More ❯

million annual interactions, and 375 million quotes, making data our superpower. Our team is modernising our data infrastructure to a cutting-edge cloud platform, enhancing performance and enabling machine learning and GenAI. Join us and be part of a team that turns insights into action, driving meaningful change for our customers, colleagues, and shareholders. Together, we can make … home insurance Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more Company funded life assurance Diverse learning and development opportunities to support you to progress in your career Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family Plus More ❯

compliance, and integration with broader digital transformation efforts Profile Proven delivery in technical project management, preferably in AI, digital delivery, or software development environments Strong understanding of data pipelines, machine learning work-flows, and cloud platforms (e.g., Azure, AWS, GCP) Familiarity with tools such as JIRA, Confluence, Gi.t, and project management software Excellent communication, organisational, and leadership skills More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

process improvement and innovation using data. Key Skills and Experience: * 5+ years of experience delivering end-to-end data science solutions in a commercial setting. * Strong technical expertise in machine learning, predictive modelling, and AI. * Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools. * Experience applying Gen AI tools or techniques is highly More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Familiarity with apache and tomcat-based applications. Exposure to cloud technologies and ansible Evolven More ❯

command of SQL Server and API's, plus will be an advocate of software design patterns, CI/CD and DevOps in an Agile environment.Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards More ❯

collaborate across different levels and stakeholder groups. General knowledge of financial services industry Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy More ❯

and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes More ❯

experience Hands-on expertise with at least one cloud platform (Snowflake, Azure, AWS, GCP) Proficiency in a leading BI tool (Power BI or Tableau essential) Exposure to AI/ML techniques and enthusiasm to apply them in business contexts Strong consulting, communication and stakeholder management skills Experience leading teams and setting best practice standards BENEFITS In return, you will receive More ❯

Maintain data quality and integrity through validation processes and monitoring Contribute to the development of data lakehouse and data warehouse solutions Collaborate with data scientists and analysts to operationalise ML and analytics models Resolve data performance issues and improve automation across the platform Provide technical input and mentorship to junior engineers Keep up-to-date with emerging data technologies and More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯