101 to 125 of 300 Machine Learning Jobs in the South East

analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks ...

engage top talent across key skill areas including: Software Engineering (Java, Python, C#/.NET, JavaScript frameworks, etc.) Data & Analytics (Data Engineering, Data Science, ML/AI) Cloud & DevOps (AWS, Azure, GCP, Kubernetes, CI/CD) Build and maintain strong talent pipelines for niche and business-critical roles Utilise ...

that let our AI and hardware teams move fast without breaking things. This is a high-impact, high-ownership role at the intersection of ML research, compiler stacks, and novel hardware. What You'll Do Design and operate end-to-end ML pipelines: data ingest, training, evaluation, quantisation, and deployment … model registry, and versioning infrastructure (e.g. MLflow, W&B, or equivalent) tuned to our hardware-in-the-loop workflows Own CI/CD for ML: automated testing of model correctness, numerical accuracy, and on-chip performance after every change to models, compilers, or firmware Develop and maintain tooling for benchmarking ...

technology leaders, we want to hear from you! About Us Regent College London is a leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence The Role As a Lecturer, you will play … Algorithms in Java Databases using SQL Advanced Databases and Big Data using Python Web Design Programming using ASP .Net Core Cloud Computing Applied Machine Learning using Python Key Responsibilities Deliver lectures, seminars, and tutorials in line with curriculum standards Develop and update teaching materials and maintain digital learning ...

candidate will be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, work will directly influence how we harness ...

with the ability to work hands-on where required. Experience designing integrations across multiple enterprise platforms, APIs and external data sources. Knowledge of AI, machine learning or Large Language Model use cases within operational environments. Ability to operate across strategy, architecture and delivery while remaining pragmatic and outcome ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy ...

development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly ...

deploying LLM-based applications into production environments. We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure … level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation. You must have proven experience working with ...

Python (e.g., NumPy, Pandas, scikit‐learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software …/CD pipelines. Experience writing clean, efficient, and modular code suitable for production environments. Desirable Skills or Knowledge Familiarity with AMO physics or quantum machine learning. Experience with MLOps best practices. Knowledge of systems like Apache Kafka, MQTT or real‐time data pipelines. Experience with cloud platforms (AWS, Azure ...

Faculty is seeking a Machine Learning Engineer to deliver bespoke AI solutions for Financial Services clients. You will bring ML from lab to production, contributing to scalable software architecture and best-practice deployment. You will work with clients and cross-functional teams to ensure feasibility, timely delivery … high-quality, production-grade ML systems. Ideal candidates have hands-on experience with Python and ML frameworks, cloud platforms, and container orchestration. #J-18808-Ljbffr ...

successful candidate will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, they will design and build modern machine learning and AI services that support analytics and improve products across the business. It’s a chance to work on a very modern … performance of data components. Improving engineering processes across the wider data community. Promoting high coding and data practice standards. Experimenting with emerging data, ML and AI technologies. Partnering with architects on data product designs. Working collaboratively in multi-functional agile squads. Supporting ML and GenAI infrastructure and workflows. Key Requirements ...

infrastructure that underpins our products, while guiding a small team of engineers and defining platform standards, data architecture and engineering best practices supporting analytics, machine learning and AI across the business. Key responsibilities * Lead the design, development and optimisation of a Databricks based data platform, ensuring reliability, performance … data science, analytics and product teams to ensure the platform supports their work * Own data quality, governance and observability across pipelines * Support AI and ML enablement including feature stores and model deployment patterns * Translate business requirements into technical solutions * Contribute to platform roadmap, tooling selection and continuous improvement Required experience ...

journeys. Working with both structured and unstructured data, you will uncover insights and identify opportunities to enhance customer and operational outcomes. You will combine machine learning, NLP, and Generative AI techniques to extract value from text, develop predictive and analytical models, and take ownership of deploying data science ...

Exposure to streaming technologies such as Kafka Experience within a high-growth SaaS or technology business Familiarity with Infrastructure as Code (Terraform) Experience supporting machine learning or AI workloads What's on Offer Salary up to £75,000 depending on experience Generous benefits package Hybrid working (London-based ...

platform performance, and engineering quality. Leading CI/CD practices, deployment processes, and engineering governance. Collaborating with Data Science and AI teams to productionise machine learning outputs. Identifying opportunities to leverage AI-enabled development tools across the engineering lifecycle. Implementing monitoring, validation, and governance frameworks to ensure reliable ...

agentic systems. Visa sponsorship available for UK-based candidates (must be exceptional) If you're driven and passionate about the new generation of Machine Learning and AI and want to play a pivotal role in developing the Generative AI function of a leading organisation, it'd be great ...

systems integration Event-driven and service-oriented architecture Data platforms, analytics and business intelligence Data governance, quality, lineage and master data Artificial intelligence, machine learning and automation Identity and access management Cybersecurity, privacy and compliance DevOps, DevSecOps and platform engineering Containers, Kubernetes and infrastructure as code Enterprise service ...

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 ...

learn and work across the wider platform. Desirable Databricks/PySpark NoSQL/Cosmos DB Infrastructure as Code/DevOps automation AI/ML data integration Automotive or insurance industry experience If this sounds of interest please apply with an up to date version of your CV for immediate consideration. ...

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 ...

Formula 1 lifecycle, from aerodynamic development and simulation through to trackside decision-making and race strategy. We bring together software engineering, data science, machine learning, and DevOps expertise to deliver performance-focused solutions. As a Senior Software Engineer, you'll play a key role in the design … values simple, effective solutions and continuous improvement. Adaptable and resilient, able to manage competing priorities and deliver high-quality outcomes. Committed to continuous learning and sharing knowledge with others. Approachable and professional, with the ability to build strong working relationships across a range of stakeholders. Additional Information Success ...

Recruitment. For more information on this role, or any other opportunities across C++, Embedded Systems, Embedded Linux, C#, .NET, Python, JavaScript, Golang, FPGA, Electronics, Machine Learning, Data Science and Simulation, get in touch with Hexwired Recruitment today. ...

platform services. Experience supporting classified or secure government environments. Strong understanding of hybrid cloud and on-premises infrastructure. Knowledge of Digital Twin, AI, and Machine Learning platforms. Experience with Kubernetes and OpenShift platform administration and architecture. Experience with multi‐cloud environments. Strong knowledge of DevOps, DevSecOps, Platform Engineering ...