1,026 to 1,050 of 3,266 Machine Learning Jobs in the UK

communicating across disciplines — you can hold your own in conversations with clinicians, members, statisticians, product managers and experts by experience. Familiarity with data pipelines, ML tooling or applied AI is a plus; deep ML expertise is not required. Comfortable with ambiguity and the pace of a growing startup. Based ...

Sales to drive measurable customer outcomes. WHAT YOU'LL DO Architect and Scale Global AI Frameworks: Design and develop end-to-end AI/ML solution patterns, robust data pipelines, and model architectures that seamlessly integrate with Everpure’s core enterprise offerings. Drive Pilot-Led Innovation: Spearhead high‐impact MVPs … ensure long‐term solution scalability and compliance. WHAT YOU BRING Production‐Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud‐native AI platforms (AWS, Azure, or GCP). Distributed Systems Mastery: Deep technical ...

Sales to drive measurable customer outcomes. WHAT YOU'LL DO Architect and Scale Global AI Frameworks: Design and develop end-to-end AI/ML solution patterns, robust data pipelines, and model architectures that seamlessly integrate with Everpure’s core enterprise offerings. Drive Pilot-Led Innovation: Spearhead high‐impact MVPs … ensure long‐term solution scalability and compliance. WHAT YOU BRING Production‐Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud‐native AI platforms (AWS, Azure, or GCP). Distributed Systems Mastery: Deep technical ...

Champion AI-assisted development practices across your teams, helping engineers effectively leverage coding assistants, automated testing, and AI-powered workflows Understand AI/ML concepts and how they intersect with API infrastructure - particularly AI agents, A2A protocol, and Model Context Protocol (MCP) - to inform technical direction AI at Gravitee … software development methodologies and SDLC Familiarity with AI-assisted development tools and practices (e.g., Cursor, AI code review, automated testing) Understanding of AI/ML concepts and how they intersect with API infrastructure (e.g., AI agents, A2A protocol, MCP) Systematic problem-solving approach, coupled with strong communication skills ...

platforms such as Microsoft Azure or AWS. Experience with containerisation technologies such as Docker. Automated testing and continuous integration or delivery. Data analytics or machine learning. Internet of Things systems and applications. Keywords - Front-End UI, Full-Stack Software Developer, software development, software developer, software, HTML5, CSS3, JavaScript, .NET ...

data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team ...

degree (2:1+) in a quantitative discipline (Maths, Stats, Physics, Engineering, CS or quantitative Economics) Python and SQL, plus solid grounding in statistical and ML techniques Experience in credit risk, data science or another quantitative role — we care more about ability than years. Financial services/lending exposure ...

deployment environments Exposure to pricing, risk, or trading engine systems Experience working alongside quantitative or systematic trading teams Interest or experience in AI/ML applications in trading environments #J-18808-Ljbffr ...

trusted advisor on AI technologies and best practices. About You Essential Skills & Experience Proven experience designing, building, and deploying AI/ML solutions within enterprise environments. Strong Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures ...

risk, or electronic market making models. Database interfacing, data management and (pre‐)processing (kdb, q, SQL). Experience of working with tensorflow and other ML packages. #J-18808-Ljbffr ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

allow growth without becoming "post-technical." What you'll do Collaborate with Data Scientists and Engineers to deliver production quality AI and ML systems Build frameworks and tooling for data ingestion from a complex variety of sources Consult directly with clients on data strategy and modernising their data infrastructure ...

experience carrying a quota north of $2M ARR with documented attainment history. Background in quantum computing, advanced simulation, EDA tools, HPC, or AI/ML infrastructure during its pre-mainstream phase. #J-18808-Ljbffr ...

collaboration within a globally distributed team. Preferred Qualifications Experience with low‐latency, high‐throughput processing (1M+ TPS) microservices. Proficiency in safely integrating AI/ML‐enabled solutions into backend systems and leveraging AI‐driven tools to enhance product outcomes. Benefits We provide a full benefits package, including travel perks, generous ...

Role Overview As a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands‐on engineer responsible for building and shipping production software with a strong focus on AI‐enabled capabilities. You will work across the full software development lifecycle—from requirements clarification ...

experience carrying a quota north of $2M ARR with documented attainment history. Background in quantum computing, advanced simulation, EDA tools, HPC, or AI/ML infrastructure during its pre-mainstream phase. #J-18808-Ljbffr ...

environment. Fluent written and spoken English. Experience with cloud platforms, Kubernetes, infrastructure as code, deployment automation, platform operations, streaming systems, data-focused applications or ML Ops concepts. Experience in motorsport, high-performance engineering, aerodynamics, simulation, telemetry or other complex engineering domains would be beneficial but is not mandatory. #J ...

design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams. Familiarity with AI/ML-enabled tools and practical applications that support product management, workflow efficiency, insight generation, or decision support. Knowledge of governance considerations related to AI, model risk ...

initiatives, from tech to customer support. We're looking for a Model Risk Manager who's passionate about data and analytics to apply ML/AI techniques across a variety of business areas of our UK Bank. You'll challenge existing modelling processes and elevate them to new standards, supporting ...

environments with a continuous improvement mindset Experience leading change across technology, process or ways of working Hands‐on experience using or introducing AI or ML tools within engineering teams Solid understanding of cloud‐native architecture, AWS and distributed systems Proficiency in at least one modern programming language Strong grasp ...

current with emerging AI tools and frameworks, introducing improvements to team workflows. Required Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands ...