You will study for certifications including Azure Fundamentals, CompTIA Network+, Cisco CCNA, and Forescout FSCA, while gaining hands-on practice with Cisco networking, Azure cloud, Splunk SIEM, and Tenable vulnerability management. Newto Training’s programme combines live instruction and real-world project work to prepare you for a network engineer role.

Work with Azure API Management (APIM), Azure Firewall, Virtual Networks, NSGs, Application Gateway, and WAF. The role supports the deployment and configuration of Azure API management, including networking and security services, collaborating with internal infrastructure and application teams. Remote position.

Design, build, and operate a Kubernetes-based MLOps platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. The platform supports the full model lifecycle—experimentation, deployment, and scalable inference—for AI, ML, and LLM workloads in production.

You'll build and operate a Kubernetes-based AI/ML platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. This role focuses on creating infrastructure, tooling, and guardrails so MLOps and data science teams can reliably deploy and serve models at scale.

You will work with Microsoft Fabric, Azure Data Services, Power BI, and Medallion architecture to design and build a cloud-based Lakehouse platform. This role leads a major data transformation for a renowned cultural organisation, creating scalable pipelines and semantic layers. You will manage and mentor a small team of data engineers.

This training program teaches Python, AI model development, and AI application building, leading to Azure AI Fundamentals and CompTIA Data+ certifications. It prepares entry-level learners for a role as an AI or data professional through coursework and a job guarantee.

You will study Python, AI models, developing AI applications, Azure AI Fundamentals, Azure Data Fundamentals, and CompTIA Data+. Newto Training offers a 130-hour course with real-world projects to prepare you for an entry-level AI or data role, and guarantees job placement upon completion.

Work with Excel, SQL, Python, R, Tableau, Power BI, and Azure AI Fundamentals. Newto Training provides a data analytics career programme with live instructor-led training, project work, and exam preparation for entry-level roles.

You will work with AWS, Python, SQL, ETL/ELT pipelines, data warehousing, and APIs. You will own the data platform for a company developing AI and machine learning products that help enterprise clients make decisions. You will start as a senior individual contributor with the opportunity to build and lead a future data team.

This is a paid training course, not a job. You will learn Python, Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+, and CompTIA AI Prompting Essentials through project work to prepare for entry-level AI roles. Newto Training provides the coursework and recruitment support.

You will study AI Fundamentals, Python, AI models, and AI application development, earning certifications including Azure AI Fundamentals, Azure Data Fundamentals, and CompTIA Data+. This training program prepares you for entry-level AI or data roles through project work and recruitment support.

Senior Developer role working with C#, .NET 4 & 6, SQL Server, Azure cloud services, SignalR, RabbitMQ, Kafka, Azure Service Bus, and CI/CD via Azure DevOps in an Agile environment. The team delivers a complex SaaS product for a regulated financial marketplace, requiring experience in financial or trading software.

This listing is for a paid AI training course, not a job, covering Python, AI models, AI application development, and data methodologies, leading to certifications like Azure AI Fundamentals and CompTIA Data+. Newto Training provides the course and recruitment support to help graduates secure entry-level AI or data positions.

Design, develop and support D365 solutions across Power Platform and Dataverse, using C#, JavaScript, Power Automate, Power BI, and Power Apps. The role supports a major transformation programme, enhancing business processes and driving Dynamics adoption across the organisation.

Lead Python Developer role using Core Python, Flask, VueJS, JavaScript, CSS, HTML, SQL, AWS, Terraform, Docker, and serverless components, with CI/CD and Agile practices. The developer builds, enhances, and supports production applications within UK public sector programmes, collaborating with delivery, product, and data teams.

Trainees will learn Linux, Git, Docker, AWS, Azure, Google Cloud, CI/CD, and Infrastructure as Code. The program provides structured training and practical DevOps projects to build a portfolio. No prior experience is required.

Use object-oriented programming (Java or C#), Salesforce Lightning, Force.com, Apex, SOQL, JavaScript, Git, Jira, IntelliJ, CI/CD, and Salesforce REST APIs. Hackajob Ltd is a platform that connects developers with job opportunities. This Salesforce Developer role delivers complex business and technical requirements on the Force.com platform.

You will work with backend development, databases, APIs, cloud services and production machine learning systems. This is for a growing technology business. No specific project or team size is mentioned.

Monzo★3.5 (108)· London

You will build and deploy deep learning, graph-based, and sequence-based ML models using Python and SQL, with exposure to Go. You will design human-in-the-loop systems and autonomous agents to route, prioritise, and automate customer-support issues for millions of customers across thousands of support staff at Monzo. You will be one of four ML engineers embedded in product squads.

Monzo★3.5 (108)· London

You will work with LLMs, autonomous agents, RAG, sequence-based architectures, Python, SQL, and Go, developing and deploying machine learning models in production. You’ll lead the design of a human-in-the-loop system that predicts, identifies, and routes customer problems to scale support for Monzo’s banking products across multiple geographies.

You will work with Python, AI coding agents (e.g., Claude Code, Codex), and potentially AWS, Kubernetes, and Temporal. Unitary builds Virtual Agents — AI-powered software workers that automate complex workflows end-to-end in customer tools, focusing on commercial insurance, marketplaces, and primary healthcare.

Cint★3.5 (13)· London

Use Python and SQL for statistical modeling and machine learning to optimize Cint's programmatic research marketplace (Cint Exchange). You will analyze marketplace dynamics, conduct A/B tests, and build predictive models to guide product and pricing strategy.

Hudson River Trading★4.5 (2)· London

You will work with Python, Pandas, NumPy, R, and MATLAB to apply statistical analysis and machine learning to vast quantities of market data. The team builds and maintains predictive trading models for the company's high-performance trading infrastructure. You will research, develop, and test order execution methods to increase trading efficiency.

Hudson River Trading★4.5 (2)· London

You will use Python, C++, Pandas, NumPy, R, or MATLAB to build and maintain predictive trading models. As an algorithm developer, you research and test novel order execution and model training methods, applying

Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.