726 to 750 of 864 Machine Learning Jobs in the UK excluding London

integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g. … migration planning. Working knowledge of Foundry (Palantir) or equivalent analytical platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks ...

enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake … Proven experience leading teams and delivering enterprise-grade data solutions. Preferred Qualifications Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect ). Experience building ML solutions using MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka ...

enterprise customers navigating complex analytics modernisation challenges whether migrating from legacy on-premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML-ready data foundations. You'll translate ambiguous business requirements into scalable, cost-effective analytics architectures that accelerate time-to-insight. You will join a team … provide customer feedback to analytics product teams, participate in private betas, and shape future service capabilities Collaborate across specialist teams work with AI/ML, Security, and Migration specialists to connect analytics foundations to downstream ML and GenAI workloads About the team We're the AWS Analytics Specialist Solutions Architecture ...

business outcomes. Key responsibilities: ·Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs ·Designing and implementing end to end AI and ML architectures across enterprise environments ·Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments ·Supporting AI implementation programmes from proof … transformation programmes ·Producing solution design documentation, implementation plans and technical proposals ·Providing technical leadership and mentoring within multidisciplinary teams Experience Required: ·Experience designing AI, ML or modern data architectures within enterprise environments ·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies ·Experience architecting scalable ...

business outcomes. Key responsibilities: ·Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs ·Designing and implementing end to end AI and ML architectures across enterprise environments ·Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments ·Supporting AI implementation programmes from proof … transformation programmes ·Producing solution design documentation, implementation plans and technical proposals ·Providing technical leadership and mentoring within multidisciplinary teams Experience Required: ·Experience designing AI, ML or modern data architectures within enterprise environments ·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies ·Experience architecting scalable ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile Our ideal candidate will bring … other similar. Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle. Experience with Large Language Models architectures and techniques: AI-agents, GraphRAGs, fine-tuning, semantic grounding. A desire to provide solutions to the real-world ...

data teams depend on. These are hands-on engineering roles where you'll build and operate the foundations that analytics, BI, data science and ML all stand on. You'll work across the full data engineering lifecycle—from ingestion and modelling through to transformation, orchestration, quality, observability and platform operation. … models Build streaming pipelines where the use case warrants it (Kafka, Kinesis, Pub/Sub, Flink) Partner with analysts, scientists, BI developers and ML engineers to deliver the data products they need Contribute to data governance, cataloguing, access management and platform security (Analytics Engineer) Sit closer to the analyst side ...

Full Stack Engineer – ML/GenAI Our trusted partner, which operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries, and has a reach of 600 million users, is recruiting a Full Stack Engineer with hands-on development capabilities in Python, JavaScript/TypeScript and ML … Experience in software development and architecture, with a track record of delivering high-quality, scalable software applications, is desirable. Experience working on AI/ML/LLM-based applications is desirable. Beneficial technical skills include: AWS – including certification Terraform Kubernetes Data science/ML tooling – scikit, TensorFlow, hugging face, pytorch ...

Data Science/ML Engineer (Contract) Glasgow (1 day per week) 600/day (Outside IR35) 3 Months We're hiring a hands-on ML Engineer to help a growing data-led marketing business unlock the value of its dataset across lead generation and tender platforms. The role: Building intelligent … enrich CRM data and extract insight from transcription data. Identify key data signals driving revenue and optimise over time. Deploy solutions in a cloud ML environment (GCP/Vertex AI) What we're looking for: Strong commercial Data Science/ML experience. Python and cloud ML platforms (GCP/Vertex ...

Agentic & Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that … combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes ...

systems including power, thermal, and IT infrastructure R&D & Innovation Lead development of next‐generation capabilities including: Digital twin integration and simulation AI/ML‐driven analytics and optimization Advanced automation and control strategies Collaborate with strategic partners and technology providers to accelerate innovation Translate emerging technologies into practical, scalable … manner Additional Preferred Experience Experience with platform‐based product development and standardisation across multiple business units Experience with digital twins, simulation, or AI/ML applications in industrial systems Experience working with cloud platforms and hybrid architectures Experience collaborating with external technology partners and ecosystems PHYSICAL & ENVIRONMENTAL DEMANDS No special ...

Senior AI/ML Software Engineer (LLM Focus) Location: Guildford, Surrey UK (office based role) Salary and benefits: £on experience + a truly outstanding package that includes an unrivalled holday entitlement. Role Overview Our client has tasked us to source a talented Senior level AI/ML Software Engineer with ...

dashboards (DAX, Power Query, RLS, performance). ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows. Proven track record integrating disparate systems post … Pivot tables, Power Pivot. Qualifications: Degree in a quantitative field (or equivalent experience). Microsoft certifications (DP-203, PL-300) advantageous. Evidence of continuous learning in data engineering, BI, and AI. What we offer: Competitive salary commensurate with level of experience Hybrid working options considered following training & probation completion ...

Providing technical leadership across key domains in data and AI Demonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies … you. Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environments Experience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerations Demonstrated experience advising senior stakeholders and building trusted relationships across business ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile You’ll thrive in this role … automation, such as: RPA development (e.g., UiPath, Blue Prism, Automation Anywhere, NICE, ServiceNow, Power Platform) IDP (Intelligent Document Processing) (e.g., Hyperscience, ABBYY, Kofax) NLP, ML, or AI‐enabled automation (e.g., Spacy, Azure Cognitive Services) Low‐code platforms (e.g., Appian, Power Platform, Pega, Dynamics 365) Workflow orchestration Exposure to Agentic ...

Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate complex technology … Proficiency in Agile methodologies and tools (Jira, Confluence). Desirable: Knowledge of cloud data technologies (SQL, NoSQL, data lakes). Experience with AI/ML frameworks and orchestration tools. Background in financial services or other regulated industries. Understanding of data processing and reconciliation solutions. What’s on Offer Competitive salary ...

notice periods (including up to 6 months) can be considered for the right candidate Key Responsibilities Lead end-to-end delivery of AI/ML and GenAI programmes: discovery, architecture, build, deployment and operationalisation. Act as the senior technical authority for clients, translating complex concepts into clear defined strategies … SageMaker and/or Bedrock). Strong software engineering practices: Python, APIs, containerisation, CI/CD, IaC, testing, observability and production support. Modern ML/GenAI approaches: feature engineering, model training, evaluation, RAG, prompt engineering, guardrails, and responsible AI. Data engineering fundamentals: pipelines, data quality, governance, and working with structured ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that ...

Innovate UK grants and partnerships across leading research and innovation organisations. Our lab is at Plus X Innovation Hub, Brighton. The role As our ML engineer, you'd own our cloud ML infrastructure, building it out closely with the CTO, who leads the technical direction. You'd work alongside … full-stack engineer to get ML capabilities into the product, and with the materials scientists running the experiments your models train on. In practice: Stand up and run our production ML stack on GCP. Design and automate the pipelines that move experimental data out of the lab and into training. ...

physical robot hardware Mentor junior researchers and engineers, and publish at top-tier venues What We're Looking For Essential: PhD/MSc in ML, Robotics, CS, or related field with 4+ years of equivalent industry research experience Demonstrated expertise training and deploying learned manipulation policies on real robots Strong … tier venues — conference attendance and open-source contributions are actively supported What's On Offer Join a team with world class applied research scientists, ML engineers, and robotics software engineers A mature platform that ships to physical hardware, not slides Active support for conference attendance and open-source contributions Competitive ...

experience. Essential Requirements You 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 of previously … 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/ ...

fast, and motivated to turn new technology into practical enterprise value. What You’ll Help Build Technology Radar: Support horizon scanning across AI/ML, quantum, blockchain, knowledge graphs, AR/VR, and more. Help track signals, summarize trends, and contribute to written assessments and internal updates. Hot-Takes/… problem statements Qualifications 2–5 years experience in technology, engineering, data, or applied research roles (or equivalent experience) Hands-on exposure to AI/ML concepts and modern developer tooling; familiarity with cloud platforms (AWS/Azure/GCP) preferred Experience building small prototypes (e.g., Python, notebooks, APIs, lightweight apps ...

Azure, Power BI, Business Intelligence, D365, Dynamics 365, lakehouse, datalakes, dataops, CI/CD, SQL, databricks, fabric, pyspark, spark, fabric, medallion, data model, AI, ML, data lifecycle, seamtic models, pipelines, Dataverse, T-SQL, Azure Base Data – Remote - £60-65kpa Our client are seeking a Data Engineer to join their … processing Understanding of DataOps principles, including CI/CD, automated testing, monitoring, and data lifecycle management. Awareness of enterprise data needs, including AI/ML enablement, governance, security, reusable data assets, plus strong problem-solving, collaboration, and continuous learning mindset. Location: Cambridge/Hybrid Candidates must be eligible ...