526 to 550 of 3,211 Machine Learning Jobs in the UK

scale; Automates CVE remediation and verification workflows; Powers AI‐driven package builds; Provides shared services across language ecosystems (Java, JavaScript, Python/AI/ML and beyond). What you’ll do: Lead the design and implementation of core components of the Libraries Platform including the services, pipelines, and package … index that power secure, reproducible build, test, and distribution workflows for libraries across multiple ecosystems (Java, JavaScript, Python/AI/ML). Design and maintain automation for artifact creation, updates, and verification, including vulnerability scanning, remediation workflows, SBOM and provenance generation, and policy enforcement across our library catalog. Build ...

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 ...

level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across … future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining … Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills – previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer ...

ready systems. Proficient with AI-powered developer tools; able to critically evaluate and refine AI-generated outputs. Strong understanding of core AI/ML concepts (LLMs, embeddings, vector databases, inference, evaluation). Experience integrating AI/ML APIs and building AI-ready data infrastructure (e.g., for RAG). Ensure data ...

practical experience delivering system design, application development, testing, and operational stability at enterprise scale Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments Expert in one or more programming languages …/or Java Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced ...

implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into … methods to complex, real-world problems Proficiency in Python, SQL, and working with graph databases or knowledge graph structures Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator Comfort working across research and data engineering contexts — this role spans all three Experience with Docker ...

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

using Large Language Models (LLMs) Perform prompt engineering and optimisation for enterprise-scale applications Build AI-driven applications using Python and modern AI/ML frameworks Integrate AI capabilities into enterprise systems, APIs and data platforms Collaborate with stakeholders to translate business requirements into AI solutions Support model evaluation, tuning ...

using Large Language Models (LLMs) Perform prompt engineering and optimisation for enterprise-scale applications Build AI-driven applications using Python and modern AI/ML frameworks Integrate AI capabilities into enterprise systems, APIs and data platforms Collaborate with stakeholders to translate business requirements into AI solutions Support model evaluation, tuning ...

Server SSAS Tabular (DAX), Dimensional Modelling, Data Warehousing. Ecosystem & Management: Azure DevOps, SQL MI/DB, Active Batch, APIs, Event Hub, Kafka, AI/ML concepts. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

Specialism Software Engineering, Platform Engineering, AI/ML Job type Contract Location London Rate £500 - £600 per day We are looking for a Senior Backend Engineer to join an early stage team that is actively reimagining software for an industry tech forgot. For decades, blue collar businesses have powered ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

professional software engineering experience delivering production systems. 2+ years of hands‐on experience building AI‐centric systems (LLM‐based, RAG, agentic AI, or ML‐driven applications). Demonstrated experience delivering and operating LLM‐based solutions in production (LLMOps). Ability to contribute meaningfully across multiple layers of an application stack. ...

organisation Qualifications You bring experience in security architecture within IT, cloud, digital, or network environments You have hands‐on exposure to AI/ML systems, data platforms, or AI‐enabled product design (even if you're not a developer or data scientist) You understand AI‐specific risks and can confidently ...

route customer problems at scale to support a rapidly expanding company with global ambitions across multiple geographies. You’ll be one of 4 ML engineers in Operations, embedded in product squads working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists. What … impact, preferably in a fast moving tech company. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business ...

route customer problems at scale to support a rapidly expanding company with global ambitions across multiple geographies. You’ll be one of 4 ML engineers in Operations, embedded in product squads working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists. What … impact, preferably in a fast moving tech company. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business ...

regulatory controls. You will design, develop, and maintain secure, reliable, and scalable data solutions that support buisness controls, analytics, reporting, and AI/ML use cases across the firm. You will collaborate with domain teams, platform engineering, and operations partners to deliver high-quality curated datasets aligned to our data ...

Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular). Experience with ...

APIs, and event‐driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications ...

databases (Oracle) and data modelling expertise (canonical data models, JSON) Deep experience with enterprise messaging platforms (Kafka, IBM MQ) Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular) Experience with Cloud ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. Experience ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

related field. Experience building large-scale enterprise or SaaS platforms. Familiarity with serverless architectures and cloud-native development. Exposure to AI/ML integrations or event streaming platforms is a plus. Contributions to open-source projects or active participation in the Node.js community are desirable. ...