Devops Ml Engineer M F D Jobs

Senior Engineer (Software Engineer, Data, AI/ML, DevOps, Test Automation) | Finance

From $80,000/yr

💻 Software Engineer, Embedded Software Engineer, Frontend Engineer 📊 Data Engineer, AI/ML Engineer, Data Scientist, Investment Data Analyst ⚙️ DevOps Engineer, Site Reliability Engineer (SRE), Test Automation 📍 Newcastle (onsite) 💰 Finance 💷 £80,000-£130,000 + 10-25% bonus Engineering Overview: A growing, high-calibre technology consultancy is seeking engineers across Software Engineering, Data, AI/ML, DevOps, Automation and Technical Consulting disciplines. They're a joint venture between two global leaders in consulting and investment management, and rather than hiring for a single technology stack or narrow role, they're assembling a team of exceptionally smart engineers, data specialists and technical problem solvers who can tackle difficult challenges, communicate effectively, and thrive in demanding environments. They're building teams across all disciplines, with a particular focus on hiring outstanding problem solvers rather than simply matching a specific technology stack. They're looking for Consultants who understand how systems work under the hood, not just how to use the latest tools. The environment is geared towards engineers who enjoy tackling complex challenges, working closely with end users, and taking ownership from day one. Most of the work is greenfield, with dedicated divisions supporting financial services programmes, alongside continued expansion into new industry sectors (Insurance, Energy). They're hiring for, and value, consultants who: * Enjoy working on challenging technical problems * Are naturally curious and intellectually rigorous * Communicate clearly with both technical and non-technical stakeholders * Enjoy variety and continuous learning * Take ownership and responsibility for outcomes * Are adaptable, articulate and commercially aware * Understand fundamental engineering and problem-solving principles Consultant responsibilities may include: * Designing and building software applications, data platforms and technical solutions * Working directly with users and stakeholders to understand requirements and deliver value * Developing software using modern engineering practices * Building data pipelines, automation tooling and cloud-based solutions * Applying analytical thinking to solve complex technical and business problems * Collaborating across multidisciplinary engineering and consulting teams * Contributing to AI, machine learning and emerging technology initiatives * Supporting greenfield projects from concept through to delivery * Continuously improving systems, processes and technical standards Consultant requirements: * STEM degree from a leading university (2:1 minimum) * Relevant placement year/real world experience/internships * Strong communication and interpersonal skills * Genuine passion for technology, engineering, mathematics or data * Ability to learn quickly and operate in a fast-paced environment Experience with one or more of the following would be advantageous as a Consultant: * Software Engineering (C#, Python, Java, C++, Rust, Typescript, Go or similar) * Data Engineering and Analytics * Mathematics, Statistics or Quantitative Analysis * SQL and databases * Cloud technologies (AWS, Azure or GCP) * DevOps, Infrastructure or Automation * Artificial Intelligence and Machine Learning * Financial Services or other highly regulated environments Consultant benefits: * Performance-related bonus (10-25%) * Private healthcare * Pension * 25 days holiday plus bank holidays * Opportunity to work on complex, high-impact projects from day one * Clear progression pathways across engineering, consulting and leadership disciplines

DevOps/ML Engineer (m/f/d)

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for DevOps and ML Engineers to support our customer projects around machine learning and data processing across various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients. If you're a DevOps or ML Engineer or just starting out in the field of machine learning and/or DevOps engineering - if you never lose focus, love coding, data and AI, and are passionate about bringing your ideas to life - then we want to hear from you! Responsibilities: * Design innovative, technical approaches for data intensive and applications with a focus on machine learning and artificial intelligence. * Implement and take ownership for your solutions on in either cloud based (AWS, Azure or GCP) and/or on-premises infrastructures of our customers. * Automate recurring tasks by state-of-the-art DevOps and MLOps concepts, enabling your customers to significantly reduce their time-to-delivery. * Take care of the necessary monitoring, failover, and recovery infrastructures that allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements * Closely interact with customers and stakeholders to translate concrete and complex business requirements into production-ready solutions * Collaborate with various disciplines such as enterprise architects, analysts, data scientists or data engineers to develop data-intensive applications such as data warehouses, data lakes and/or data platforms What we offer you: * Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.) * Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science * Benefit from industry-leading cooperations in the cloud, BI, and AutoML field * Very active social program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons * Work in an open, flat environment, within a broad Reply knowledge-sharing network * Award-winning office space in downtown Munich with access to “Stammstrecke” * You choose your state-of-the-art equipment * Public transport ticket with Deutschlandticket * Gym-membership subsidy for a gym of your choice * Flexible work environment between client, Reply office, and remote work Minimum Job Requirements / Qualifications : * Bachelor’s / master’s degree in computer science or any other related fileds (e.g. engineering, statistics, physics). * First practical experience with DevOps/MLOps principals and computing platforms like Microsoft Azure, AWS and GCP as well as Databricks. * Ability to convincingly communicate and present analytical results to management. * We cover the full lifecycle of Data, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps. Interest and/or experience in some of those fields is an advantage. * Fluent in English and German. Desired : * Working experience in cloud technologies (AWS, Azure or GCP), Kubernetes and programming languages like Python, Java and Scala. * Practical experience with SQL and NoSQL database technologies and data lakes * Experience with big data technologies (Apache Spark), data streaming (Apache Kafka) and workflow orchestration (Apache Airflow, Dagster)