876 to 900 of 6,448 Machine Learning Jobs in the UK

timely, structured manner to technical and non-technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. Required Qualifications 5+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting, prototyping, or research.Strong ...

timely, structured manner to technical and non-technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. The ideal candidate Required Qualifications: 5+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting ...

development 🗄️ SQL, databases & data platforms 🔄 Data pipelines & ETL/ELT 🔌 APIs & backend engineering 🚀 CI/CD & production systems 📊 Analytics & modern data platforms 🤖 AI/ML and emerging AI technologies It's a strong opportunity for someone early in their career who wants to develop into a well-rounded Full Stack ...

qualifications, capabilities, and skills: Good understanding of operating systems such as Windows, Linux (Redhat/Ubuntu) Good understanding of LLM and other AI/ML frameworks which can be used in AIOPS J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

timely, structured manner to technical and non-technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. Required Qualifications 5+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting, prototyping, or research. ...

Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal ...

qualifications, capabilities, and skills: Good understanding of operating systems such as Windows, Linux (Redhat/Ubuntu) Good understanding of LLM and other AI/ML frameworks which can be used in AIOPS ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

Support the identification and shaping of future AI opportunities once the first use cases have demonstrated value. Desirable skills: Azure AI Foundry and Azure Machine Learning. MLOps practices and tools such as MLflow. Containerisation and orchestration using Docker and Kubernetes. Experience developing copilots, AI agents or multi-step ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

comparable — including supervisor/multi-agent patterns. Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience on AWS-native AI/ML stacks. Demonstrated experience designing evaluation frameworks for non-deterministic AI outputs: golden datasets, regression testing, human review workflows, agent-level metrics. What We Offer: Competitive ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

related technical discipline. Experience with virtualized or cloud-based test environments. Experience developing developer productivity platforms or internal engineering tools. Experience with AI, ML, or Agentic AI solutions applied to software development, testing, or operational workflows. Experience in telecommunications, networking, satellite communications, aviation, in-flight connectivity, or other distributed systems ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

Tech Lead level, with the ability to be both highly technical and an effective people managerHands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling)Experience operating ...

Software team at CoMind spans the full stack of a regulated medical device company — from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that ...

with Microsoft Azure or other cloud platforms (AWS, GCP). Experience with graph databases and graph‐based data modelling. Experience contributing to AI/ML-enabled tools in a scientific or data-driven environment. Experience mentoring others or acting as a technical lead or point of reference. Experience with C# ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

Your impact Secure, repeatable deployments across enterprise cloud environments. Increasingly, Gigaton deploy cloud workloads across GCP, AWS, and Azure, so that we can deploy ML‐Ops and data solutions inside our customer’s perimeter. You will help to design, simplify, and improve our entire stack so that we can meet ...

operate within our risk appetite. You will collaborate with stakeholders to develop and implement solutions that support our commercial goals, harnessing artificial intelligence and machine learning. Your work will contribute to a culture of integrity, innovation, and excellence. Job Responsibilities: Support and drive adherence to data risk management standards ...

transitions and operating model transformations for global financial services clients Published thought leadership in SRE, platform engineering, or IT transformation Experience with AI/ML‐driven operations (AIOps) and emerging automation technologies ITIL 4 Managing Professional or Strategic Leader certification Benefits We help take care of your today and tomorrow ...

cloud providers Experience working in a technical pre-sales capacity Experience with database programming and data models Experience in data engineering or AI/ML projects Understanding of popular sales methodologies/frameworks such as MEDDPICC/Command of the Message A the company Certification A Cloud Provider Certification What ...

privacy‐tooling roadmap (e.g., Purview/BigID/Collibra/OneTrust) and integration with data platforms, establish controls for AI/ML across the model lifecycle aligned to Model Risk Management, track regulatory/market trends, and translate them into actionable roadmaps with clear OKRs/KRIs and senior‐level ...

pharmaceutical industry (e.g. Pharma, CRO, Biotech) and clinical trials.* Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis. AI/ML knowledge is a plus.* Good understanding of industry RWD vendor database.* Experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets. ...

Experience working with trading, risk, pricing, scheduling or middle-office platforms.* Experience with **Actor Model, Event Sourcing and CQRS** architectures.* Experience building AI/ML-enabled applications and agentic systems in production.* Experience developing evaluation, monitoring and observability frameworks for AI applications.* Experience leading or mentoring a squad of engineers. ...

handling, access control, and GDPR basics Nice to Have: RAG architecture, hybrid retrieval strategies, or prompt engineering experience Nice to Have: MLOps or ML pipeline experience Nice to Have: Domain knowledge in compliance, tax technology, or e-invoicing Due to client contractual obligations, the successful candidate will be asked ...