526 to 550 of 1,244 Machine Learning Jobs in the UK

Required Experience • 10–15+ years of experience in software engineering, data engineering, or related technical roles • 5+ years of experience working with AI/ML systems, including recent exposure to GenAI/LLMs • Proven experience designing and implementing AI-driven solutions in enterprise environments • Strong understanding of: o LLMs ...

/ELT pipelines using modern tooling Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions Support AI/ML inference pipelines and data workflows Produce clear documentation covering data flows, schemas, and integration patterns Monitor and optimise data performance, resolving issues as needed Required ...

knowledge and experience with cloud technologies Understanding of security standards and compliance requirements within the industry Experience in engineering or working with AI/ML systems Proven problem-solving skills with a focus on building robust, fault-tolerant systems Experience scaling software and infrastructure in response to growth Effective leadership ...

interpretability are built into everything you deliver. What we’re looking for We’re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience ...

data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical ...

safety, reliability, and interpretability are built into everything you deliver. What were looking for Were looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands ...

Engineer to join a specialist team tackling some of the most challenging problems in modern technology spanning across cloud, security, automation, and AI/ML operations. You'll operate at the intersection of cloud engineering, cyber security, and reliability , working on problems such as: Securely updating deployed systems in sensitive ...

data modelling, cleansing and dataset preparation. Experience supporting or developing Power BI dashboards and data visualisations. Familiarity with APIs, automation tools and AI/ML-driven platforms. Strong JavaScript and jQuery skills, including asynchronous handling and AJAX. Knowledge of version control tools such as Azure DevOps. Understanding of UX principles ...

across Europe (EMEA exposure essential) Ability to engage both technical and business stakeholders Excellent presentation and communication skills Highly Desirable: Exposure to AI/ML/data-driven platforms in financial services Knowledge of cloud architectures (AWS, Azure, GCP) Experience with modernisation/core transformation programmes Fluency in an additional ...

package for the right candidate. Essential requirements: Strong academic background — a rigorous foundation matters here At least 2 years working with AI or ML systems in production and 3–5 years of substantive software/platform engineering Deep JavaScript/Node.js skills Azure Fluency JSON data structures, REST API design ...

NestJS) or Python (FastAPI, Django) (or similar) APIs: REST, GraphQL (or similar) Databases: PostgreSQL, MongoDB (or similar) AI/Data: Experience integrating AI/ML features via APIs (e.g. OpenAI, Anthropic or similar) Exposure to data pipelines, inference workflows, or retrieval-based systems (RAG, vector DBs or similar) Cloud & DevOps ...

derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products in one or more asset classes Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development ...

incumbent should have 10–12+ years of experience in IT services sales in the European market, with at least 5+ years selling AI, ML, and data-led solutions. Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals. The candidate ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required Due to the nature of the clients' work, you will either already hold ...

/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems ...

strong emphasis on Azure-based data solutions. * Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric. * Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions. * Strong ...

GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Ship features that solve real problems Strong ...

maintain legacy. Reports to the Operations Director with fractional CTO advisory support. Clear progression as the platform matures into data migration, AI/ML automation and client-facing services. Remote-first, UK-based. Occasional travel to London HQ and acquisition sites. Judged on delivery. ...

maintain legacy. Reports to the Operations Director with fractional CTO advisory support. Clear progression as the platform matures into data migration, AI/ML automation and client-facing services. Remote-first, UK-based. Occasional travel to London HQ and acquisition sites. Judged on delivery. ...

What you’ll be doing Security Engineering & Automation Architect and implement security controls across Microsoft 365, Azure, Dynamics 365, Kubernetes (AKS), and AI/ML workloads. Lead the design and deployment of conditional access, Defender for Cloud, Purview DLP, Azure Firewall, and related services. Integrate security into DevOps pipelines ...

transforms customer experience. Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team and operating from various locations in Europe, North ...

market trends, use cases and enabling technology/data/algorithms Bachelor's Degree required; advanced degree a plus Strong understanding of AI/ML concepts, digital transformation narratives, agentic AI platforms, apps, ecosystems, market trends, use cases and enabling technologies/data/algorithms Familiarity with software development projects ...

/CKA Certification is a plus. Experience and thorough understanding of DBaaS, PaaS, IaaS is plus. Exposure to Splunk, Elasticsearch, BigData, and AI/ML is a plus. Understanding of Networking, Storage, and Security Concepts is desirable. Good senior stakeholder contacts in the region with potential Telecom and Service Provider ...

software application security and mobile security. Experience implementing and improving DevSecOps processes in cloud native (AWS or GCP) environments. Knowledge of AI/ML security risks and governance frameworks like ISO 42001 or NIST AI RMF. Experience leading security operations, incident response, and threat management. Ability to work collaboratively with ...