1,901 to 1,925 of 2,186 Machine Learning Jobs in the UK excluding London

calibrate assessments, and help onboard new team members effectively. Partner with the Data Engineering Manager on team development planning, identifying skill gaps and proposing learning opportunities. Ensure team members feel supported, challenged, and set up to do their best work. Governance & Collaboration: Partner with Data Governance to embed data … platform architecture patterns and their practical application in a scaled organisation. Experience with GCP cost management and BigQuery cost optimisation strategies. Broader exposure to ML infrastructure, feature engineering pipelines, or data science platform enablement. CLOSING DATE: 21st AugustLOCATION:Please note this is a hybrid role and requires the successful candidate ...

storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda … Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory ...

storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda … Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory ...

teams, this individual will transform assessment concepts into functional proofs of concept and serve as a subject-matter expert in psychometrics and AI/ML-based scoring. The position requires strong professional leadership, deep expertise in test development and validation standards, and a commitment to scientific rigor, high-quality documentation … concept using modern AI tooling and agentic workflows Owning psychometric quality across reliability, validity, and scoring, combining established psychometric theory with AI/ML scoring approaches to deliver accurate, robust, and explainable results Building fairness and legal defensibility into assessments from the design stage, maintaining current knowledge of relevant regulation ...

cloud-native architecture, security and engineering governance. Experience evaluating and integrating third-party Financial Crime or Risk technology platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability … particularly relevant: Salesforce Financial Services Cloud | Snowflake | ComplyAdvantage | OCS | SQL | Python | REST APIs | Event-Driven Architecture | Cloud | CI/CD | DevSecOps | AI/ML | GenAI | LLMs | RAG | Data Governance | Data Lineage If you have the above experience please apply immediately ... ...

desktop applications, software architecture, and measurement and data-analysis algorithms, leveraging cutting-edge technologies and the latest advancements in software engineering and AI/ML/DL. You will partner closely with hardware, systems, product, and global engineering teams to deliver high-quality products on schedule. Responsibilities: Lead, mentor … globally distributed teams across the US, Europe, and Asia on system integration, software releases, and shared engineering best practicesChampion responsible adoption of AI/ML and AI-assisted development tools under company security policies, remove obstacles, and foster root-cause analysis and continuous improvement in process and product qualityQualifications: Bachelor ...

Front End Developers on integrating user-facing elements with server-side logic, and with the wider engineering team on the platforms our AI/ML models and IoT devices depend on. This is a broad, hands-on development role in a small team you’ll work across the full software … systems and SQL. Proficient with version control (Git) and modern development workflows. It would be great if you also have: Knowledge of AI/ML for computer vision or data analytics. Experience with cloud computing and databases. Familiarity with IoT communication protocols (MQTT, HTTP) or edge devices. Firmware development experience. ...

hackajob is partnering directly with Moody's Corporation to hire for this role. Skills and Competencies Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model … market priorities Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability About the Team You will join ...

stability of services relied upon by millions. As a Lead Software Engineer - Site Reliability Engineer, Operations Excellence at JPMorganChase within the AI/ML & Data Platforms area, you will serve as a technical leader at the intersection of software engineering and reliability engineering — owning the incident management lifecycle, defining reliability … part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Shape the reliability of AI/ML & Data Platforms — lead incident response, drive resilience, and set the standards that keep us running. #J-18808-Ljbffr ...

Job Overview: We are looking for a dedicated Staff Full Stack Software Engineer to join our team in Cambridge. This role has significant impact in improving the engineering experience at Arm! Engineering IT supplies the ...

Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is requiredMinimum ...

actionable insights and deliver innovative solutions that drive business value and strategic decision‐making. You will develop data services, apply deep learning and ML, perform data analysis, and collaborate across teams to implement data‐driven improvements within the insurance domain. The role requires strong Python skills, statistical modelling ...

customer experience technologies including contact experience platforms, e-commerce front-end/back-end tools, order management systems, content management systems, and AI/Machine Learning-powered conversation analytics systems to drive continuous improvement. Leverage omni-channel operational expertise to identify gaps, design scalable solutions, and enhance ...

work on proposals with your technical skills Use your expertise to provide some thought leadership Significant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi-cloud with strong AWS depth). Deep understanding of AI/ML … environments to enterprise-ready architectures, balancing speed, robustness, and long-term maintainability. Strong background in cloud security, networking, and cost optimisation for AI/ML workloads. Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams. Qualifications Essential criteria ...

Analytics & AI) Role Overview We are seeking a Data Architect to support the design and delivery of cloud-based data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise … products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access control standards. ...

based, hybrid work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams. You'll build and deploy ML/NLP solutions, explore LLMs, and partner with product and engineering to deliver production-ready models across AWS and Azure, improving compliance and safety outcomes. ...

agile team delivering secure, scalable software solutions across multiple domains and leveraging AI-assisted development tools. The role emphasizes production-grade Python systems, ML/NLP workflows, large datasets, and collaboration with CI/CD, data engineering, and security practices. Hybrid or on-site arrangements may apply. #J-18808-Ljbffr ...

just written: Dagster or Airflow, S3-based data flows, and a habit of testing outputs for correctness rather than only for exceptions. Applied ML in production: embeddings and semantic similarity, clustering, or operationalising models (not necessarily training from scratch). AWS fluency and CI/CD discipline. Nice to have … Practical LLM engineering: prompting, batch inference, and cost and throughput trade-offs across providers. SageMaker, Bedrock, or comparable managed ML tooling. Financial and equities domain knowledge: classification taxonomies, factor models, index construction. Valuable but learnable. Infrastructure as code (AWS CDK or Terraform) and Docker. Experience we're looking ...

skill and experience. Essential RequirementsYou will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture … Experience with cloud infrastructure (AWS/GCP/Azure) Experience building APIs and working with distributed systems Systems thinking: Experience designing data pipelines or ML infrastructure Ability to evaluate end-to-end workflow performance Familiarity with AI/ML lifecycle (training to inference to evaluation to feedback) Product judgement: Ability ...

technology strategy. The AI Centre of Excellence is responsible for identifying and delivering high-value AI opportunities, developing production-grade AI and ML solutions, and supporting the wider organisation in adopting new AI technologies and engineering practices. This is an opportunity to join a technically ambitious team working across … cloud, engineering and data, with exposure to complex enterprise environments. About you Strong experience delivering production-grade AI/ML solutions Strong software engineering and architectural capability Experience working with cloud platforms, particularly AWS and/or Azure Comfortable building APIs, services and production pipelines Strong understanding of LLMs ...

cloud infrastructure. Proficiency in Python and/or another general‐purpose language, with strong testing discipline Hands‐on experience building with LLMs or other ML systems (prompt engineering, fine‐tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs. Proven experience designing and leading evaluation …/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions. Strong command of evaluation concepts — various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each ...

analytics, and design AI-augmented workflows to modernize complex, data-intensive supply chains. Key Responsibilities Data-Driven AI and Digital Innovation: Champion AI/ML, RPA, and process mining across operational programs. Collaborate directly with data engineering teams to define data pipelines for AI/ML models, design augmented workflows ...

/CD, observability and deployment. About You You will be a Senior GenAI/NLP Engineer with strong experience delivering production AI/ML solutions across cloud environments. You'll have hands-on experience with LLMs, RAG, agentic AI, vector embeddings and model evaluation, alongside technologies such as AWS Bedrock … enjoy solving complex technical challenges to build secure, scalable and production-ready AI solutions. Key requirements: Strong professional experience in GenAI, NLP, AI/ML Engineering, or a similar role, with experience delivering production-ready solutions. Strong hands-on experience with LLMs, RAG pipelines, agentic AI, vector embeddings, and model ...

Work directly with customers to shape requirements and translate them into working software. Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure ML and AI Search. Provide technical leadership, ensuring engineering rigour, code quality and best practice. Support pre-sales activity through prototyping, research and proof-of-concept …/testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers strong development culture, structured learning pathways, competitive salary progression, generous leave, wellbeing support, health cash plans, volunteering days, life assurance, EV and tech schemes, retail discounts, onsite gyms (where ...