1 to 25 of 240 Remote Machine Learning Jobs in the South East

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have … within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience … environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You’ll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI ...

accelerate materials innovation and transform manufacturing. Role Overview We are seeking a Machine Learning Engineer to design, develop, and validate novel ML models that optimise manufacturing processes and material composition. You will collaborate closely with process engineers and materials scientists, identifying meaningful features and translating complex datasets into … impactful insights. You will also help advance our internal ML platforms to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model ...

Platform solutions with Microsoft 365 services (like Teams and SharePoint) and other third-party systems or APIs. Data & AI Integration: Utilize AI Builder and machine learning models to add intelligence to applications and automations. Collaboration: Work closely with business analysts, stakeholders, and end-users to understand requirements … ensure solutions meet business objectives. Essential Skills & Knowledge: Microsoft Power Platform: Deep knowledge of Power Apps, Power Automate, Power BI, and Dataverse. AI & Machine Learning: Experience with AI automation tools, machine learning models, and AI Builder for enhanced functionality. Copilot Studio: Expertise in building and deploying ...

Purpose of position As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, you’ll work closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities will include managing existing ML workloads … building new batch and on-demand pipelines to support advanced AI/ML models. You’ll also contribute to developing Generative AI solutions and applications for the emerging Agentic Era. You’ll collaborate with a global team to create scalable data architectures optimised for AI/ML, source and prepare ...

language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect and deliver ML features such as pattern recognition, entity extraction, and intelligent automation. Design scalable data and streaming pipelines capable of handling large, heterogeneous datasets. Build and optimize … systems to support high-quality retrieval. Deliver production-ready APIs, services, and model inference systems. Manage deployment, monitoring, observability, and continual improvement of ML models. Evaluate model performance using offline metrics, A/B tests, latency and cost optimisation. Work closely with product and domain experts to translate requirements into ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML … teams by enabling efficient data loading, dataset management, and cloud-based training workflows. You'll work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data ...

Machine Learning Engineer Oxford - Some flexibility on the working times and potential for some hybrid working for the right candidate £Competitive + Excellent Benefits Join a fast-growing, venture-funded technology company developing the next generation of advanced metal components. Our multidisciplinary team of metallurgists, engineers, and software ...

Engineering to take models from idea to production and measure real-world impact.? What you'll do: Lead the design, development and deployment of ML and AI-powered data products for pricing and revenue. Act as technical lead across modelling work, championing rigour, robustness and reliability. Guide customer intelligence … personalisation models, including recommender systems. Work with Product, Delivery and ML Engineering to productionise models and monitor performance. Mentor and support data scientists, fostering curiosity, learning and technical excellence. Promote a data-driven culture through experimentation, storytelling and clear communication.? What you'll bring: Proven experience implementing or optimising ...

problems from day one — not just writing code in the corner. We’re looking for an ambitious Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a rapidly scaling company which invests in careers — ideal for someone who wants to grow … Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists, and product ...

from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow … into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists ...

with appropriate testing, maintaining projects, developing new tools, resolving issues, as well as identifying & using new technology options/techniques in the AI/ML space. In order to be suitable for this role you must have proven experience working in a Python Developer, Web Developer, Full Stack Developer, Software … Engineer, Application Developer, Machine Learning Engineer, Programmer, or similar role focused on Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate ...

meet and exceed user requirements. We specialise in Software Engineering, Modelling & Simulation, Robotics & Autonomous Systems, Synthetic Environments, and AI & Machine Learning (ML). Our team provides, adaptable and highly skilled capability, with a range of specialities to ensure that the right techniques are used to solve your problem. … internal and external training opportunities, with specialist sector organisations and in-house courses. You will have exposure to subject matter experts and additional online learning packages. The role comes with a competitive benefits package including pension (7% company contribution), additional holiday purchase options, private health care, life assurance ...

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms ...

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms ...

Azure Storage Azure Data Factory ADF Expertise in building and managing complex data pipelines Databricks Handson experience with Spark based data processing notebooks and ML workflows Data Modeling Proficiency in conceptual logical and physical data modeling SQL Python Advanced skills for data manipulation and transformation Insurance Domain Knowledge Understanding … Power BI Experience in building dashboards and visualizations Data Governance Tools Familiarity with tools like Purview or Collibra Machine Learning Exposure to ML model deployment and monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory ...

integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions as you develop your skills in this area. Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus … MLOps, is also a plus. You will be considered a strong fit if you have: Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience. Experience with Generative AI (GenAI) and agentic systems will ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on or at . ...

Senior Software Engineer or in a similar role. AWS Expertise : Strong proficiency in AWS services, particularly Amazon Lex and other AI/ML offerings. Tech Savvy : Proficiency in TypeScript and modern JavaScript frameworks. DevOps Knowledge : Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring). Contact Center ...

processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience is a plus. Experience working with call centre and/or sales operations. Benefits Long contract Hybrid role ...

please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, C# .net, Mechanical Design, Machine Learning, AI, FPGA, Electronics, Java, Python, Data Science or Simulation contact us today. ...

Highly organised, proactive, and self-motivated Desirable Skills Containerisation (e.g., Docker) ASP.NET Core/Blazor JavaScript or TypeScript (e.g., React) 3D geometry programming WPF Machine-learning model development CI/CD pipelines Infrastructure-as-code (e.g., Terraform for Azure/ ...

drive collaboration across engineering, product, security, professional services and customer facing teams Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift Responsibilities for Head of Engineering: Lead and develop engineering managers … Azure/AWS/GCP/SaaS Migration/Microservices/Infrastructure as Code/Kubernetes/CI/CD/AI Engineering/Machine Learning/API Architecture/.NET/Python/Java/JavaScript/C#/Software Development Manager/Software Engineering Manager ...