126 to 150 of 300 Machine Learning Jobs in the South East

debugging—ensuring successful product delivery. We are looking for an experienced Software Engineer with strong expertise in designing, developing, debugging, and optimizing AI/ML solutions across operating systems such as Linux, Android, QNX, or similar embedded platforms. In this role, you will work directly with customers and partners … TensorFlow, Caffe/Caffe2) Experience with both supervised and unsupervised machine learning, including computer vision, NLP, and LLM-based systems Familiarity with ML/MLOps pipelines for development and deployment Solid understanding of ML/DL fundamentals (e.g., CNNs, object detection, segmentation) Knowledge of neural network operations, linear ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

ownership. What you'll be doing Build and deploy LLM-based applications , including RAG systems, chatbots, and agentic workflows Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate Design and deliver end-to-end AI systems from discovery to production Develop agentic workflows across areas like underwriting …/CD, Docker, Kubernetes, APIs What you bring Core requirements 5+ years in data science/machine learning Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling) Hands-on experience with LLMs/GenAI/NLP/AI systems Experience deploying models into production (not just experimentation ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. … building, and 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 ...

Your new role The primary purpose of this role is to act as a senior technical expert and trusted advisor in AI/ML engineering, leading the design and delivery of AI-powered products and agentic systems that enhance organisational capability. As a key member of the AI Centre … Excellence (CoE), the post holder will help define and embed enterprise-wide standards for AI/ML engineering, promoting consistency, quality, and best practice across the organisation. This is a hands-on, Director-level individual contributor role, combining deep technical expertise with cross-functional leadership and strategic influence. The post ...

help employees understand AI implementation. What You'll Bring Currently enrolled in an undergraduate or graduate program in Computer Science, Data Science, AI/ML, or a related discipline. Active GitHub profile with at least one substantive AI or machine learning project. At least one prior project using …/ML tools or techniques (academic, personal, or professional). Previous internship or work experience in a business or technology environment. Strong communication skills — able to bridge technical and non-technical conversations. Personable, enthusiastic, and naturally able to teach diverse stakeholders about AI topics. Comfort with Python and familiarity with ...

reusable solutions. Support and mentor team members across the wider Data team. Work closely with agile teams to deliver data products that support machine learning and AI projects. Help business stakeholders understand technical solutions and project goals. Support data governance through testing, documentation, and quality checks. Keep … Jenkins. Experience with orchestration tools such as Airflow. Knowledge of BI and visualisation platforms such as Tableau. A mindset focused on learning, improvement, and software engineering best practices. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which ...

Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard ...

trends and advancements in AI and machine learning. Profile Must haves: Software Engineering experience - ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions … Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more holidays Matched pension Life assurance ...

field, and under pressure. ## The Role You'll be part of a team delivering software solutions that leverage the latest in machine learning, edge compute, and DevOps automation. Think rapid capability deployment, deployed hardware environments, sensors, and robotics - the kind of engineering problems that push ...

annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems ...

hypothesis testing, regression, etc.) Financial services or consulting background preferred Strong analytical and problem-solving capabilities Excellent stakeholder management and communication skills Knowledge of machine learning, AI, or data governance frameworks Familiarity with Agile methodologies Degree in a quantitative discipline such as Mathematics, Statistics, or Computer Science Location ...

Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation ...

practical experience. Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact ...

problem-solving, communication, and stakeholder engagement skills. Strategic thinker with a focus on security, compliance, and innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using ...

problem-solving, communication, and stakeholder engagement skills. Strategic thinker with a focus on security, compliance, and innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using ...

React Experience building secure, production-grade distributed systems Strong understanding of modern SDLC, CI/CD, and cloud-native development Exposure to AI/ML solutions, particularly LLMs, OpenAI/Claude, or RAG frameworks , is highly desirable Background in banking, fintech, or asset management preferred Robert Walters Operations Limited ...

documentation and architectural design experience (HLD/LLD). Experience within Banking or Financial Services. Exposure to DevOps tooling, preferably Terraform. Experience working with ML/AI and data tooling within GCP environments. Familiarity with Agile or iterative delivery models. Robert Walters Operations Limited is an employment business and employment ...

Design, develop, and deploy 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. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements ...

agentic AI capabilities beyond experimentation and into dependable products thatoperatesafely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers,analystsand technical leaders, you will shape how we build, test, deploy,monitorand govern AI-powered systems. Success … reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross-functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long-term platform strategy. Define and drive engineering standards, reusable patterns, tools ...

people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters … scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues ...

simulation tools (FEA, CFD). Familiarity with CI/CD, containerisation, and infrastructure-as-code tools (e.g. Terraform). Experience or interest in machine learning applications within engineering contexts. Ideal Profile An early to mid-career software engineer (2–5 years’ experience) with strong technical foundations and demonstrable ...

monitoring, and performance Ensuring data is handled securely and in line with GDPR and best practice Helping lay the foundations for future AI and machine learning initiatives What's on offer Opportunity to join at an introductory stage of a long-term data transformation High-impact role with ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...