326 to 350 of 379 Machine Learning Jobs in the South East

or Master’s degree in Computer Science, Data Engineering, or related field. Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer). Familiarity with AI/ML applications in customer engagement and personalisation. Why Join Accenture? Work with cutting-edge technologies and global clients. Be part of a diverse, inclusive, and innovation-driven culture. Access world-class … learning resources and career development programmes. Join a team that values stewardship, integrity, and client value creation. What’s in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as: 30 days of leave to spend More ❯

10. Experience with TDD, BDD, and testing frameworks (e.g., xUnit, Jasmine/Karma). Knowledge of DevOps tools like Azure DevOps, GitHub Actions, or Terraform. Awareness of AI/ML concepts and their application in enterprise software. Degree in Computer Science or related field (or equivalent experience). Desirable Skills Experience with Azure services (App Services, Functions, Key Vault, etc. … 10. Experience with TDD, BDD, and testing frameworks (e.g., xUnit, Jasmine/Karma). Knowledge of DevOps tools like Azure DevOps, GitHub Actions, or Terraform. Awareness of AI/ML concepts and their application in enterprise software. Degree in Computer Science or related field (or equivalent experience). Couldn't find a suitable vacancy? Please submit your CV here More ❯

Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of … agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases : Design and implement robust database solutions More ❯

for leadership. Experience and Expertise Required We are looking for hands-on experience in the following core areas: Model Lifecycle Management (MLOps): Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex AI, or Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on More ❯

with strong flexibility for remote work. Your Role Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt … safety). Optimise models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector … databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week in the London More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

ability to manage ambiguity, thrive in a scaling startup environment • Excellent communication, presentation, and storytelling skills — able to influence senior leadership and stakeholders Preferred/Plus Experience marketing AI, ML, developer tools, SaaS platforms, or technical products • Experience with demand generation in global markets and handling regional/localization adaptation • Prior experience scaling marketing operations from startup to scale (for … humble, honest, and who act with heart. Our vision is to help build the earth's most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers. That is DevRev More ❯

how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We're partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director of (Platform, Compute, Infrastructure, DevOps) Product Management to lead a portfolio that underpins one of the world's most advanced digital … R&D ecosystems. Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders to ensure platforms scale securely and efficiently across global teams. Shape the vision for More ❯

and AI-driven analytics across the organisation. Key Responsibilities: Design, build, and maintain scalable ETL data pipelines to support AI, chatbot, and analytics use cases. Collaborate with data scientists, ML engineers, and product teams to deliver clean, reliable data for model training and real-time inference. Enable chatbot platforms by integrating structured and unstructured data sources for conversational AI applications. … or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data visualisation and dashboarding. Exposure to AI/ML environments , including data preparation for chatbot training and deployment. Familiarity with chatbot frameworks is a plus Experience with cloud platforms (AWS, GCP, or Azure) and modern data architectures (e.g. data More ❯

scripts or tools that speed up delivery and improve outcomes. Keep communication clear and aligned across teams and stakeholders. Continuous Improvement Stay up to date with cloud, automation, and ML technologies. Share ideas that help us deliver and scale better every time. Requirements Experience & technical skills Bachelor's degree in Computer Science, Software Engineering, or a related field. Up to … in spotting gaps, suggesting improvements, and helping the team move faster. If you have any of this, even better Experience with PostgreSQL database design. Familiarity with computer vision or ML frameworks (e.g. PyTorch). Exposure to DevOps tools such as Docker, Kubernetes, or CI/CD pipelines. Understanding of cloud platforms (GCP, AWS), API integrations, or data engineering best practices. More ❯

model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics.Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment.Ensure security and governance through robust access controls, including RBAC, SSO, token policies, and … and maintaining batch and streaming data pipelines using Kafka, Airflow, or SparkFamiliarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policiesExposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasetsDemonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teamsAdvanced SQL skills and a keen focus More ❯

data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security and governance through robust access controls, including RBAC, SSO, token policies … batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies Exposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasets Demonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teams Advanced SQL skills and a More ❯

AI/ML Security Architect £130000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Security Architect - ML/AI Systems UK | Hybrid | Up to £130,000 + Package | SC Eligible We're looking for a hands-on Security Architect with deep expertise in ML/AI systems to join a leading Security Team. This is a … opportunity to act as a technical SME, shaping the security of AI-driven systems in high-stakes environments. What you'll be doing: Own and design security architectures for ML/AI systems, ensuring robust protection across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML … deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy and contribute to cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise More ❯

with proven track record) Build data pipelines from scratch that process millions of mobile analytics events to predict user conversions weeks in advance Direct business impact - your pipelines feed ML models that help subscription apps optimise £millions in ad spend What We Do Day30 helps subscription apps improve paid acquisition ROI by providing predictive signals to optimise ad spend. We … connect directly to mobile measurement partners (MMPs) to analyse behavioural event data, build ML models that predict high-value conversions weeks in advance, and deliver these predictions to advertising platforms without compromising user privacy. We're a two-founder London startup combining deep expertise in performance marketing and machine learning. As our founding data engineer, you'll work directly … We're looking for someone who loves working with data - someone who gets excited about finding edge cases, building robust pipelines, and seeing their clean, validated datasets power accurate ML predictions. What You'll Do Data Pipeline Engineering Build production ETL pipelines that process mobile analytics events from AppsFlyer, Adjust, and other MMPs Engineer features for ML models: temporal patterns More ❯

processing, and the AI lifecycle. Proficiency with SQL and cloud-based systems (e.g., AWS, Azure, GCP). Core Responsibilities Programme Management Lead cross-functional teams to deliver AI/ML programme objectives on time and within budget. Develop and manage programme plans, budgets, and timelines, ensuring alignment with individual project goals. Ensure data assets and models are discoverable and reusable … across multiple initiatives. Track programme performance, manage risks, and remove delivery roadblocks. AI/ML Delivery & Agile Leadership The AI Programme Manager will: Drive continuous improvement of AI/ML development processes across the organisation. Ensure Agile ceremonies (stand-ups, sprint planning, reviews, retrospectives) are run effectively. Remove impediments and protect delivery teams (data scientists, engineers, analysts) from unnecessary distractions. More ❯

or thought leadership sessions. Proactively identify and mitigate risks in AI adoption, ensuring ethical and compliant implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems. Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks, vector databases, and LLM orchestration tools. Ability to lead multi More ❯

+ fully remote contract + initially 6 months + £500 to £525 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document … APIs, and data stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance More ❯

+ fully remote contract + initially 6 months + £500 to £530 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document … APIs, and data stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯