226 to 250 of 263 Machine Learning Jobs in the South East

Data & AI evangelist - educating stakeholders on possibilities and translating technical outcomes to business value. Data specialist - shaping data science strategy, building production-ready ML models, and embedding best practice. Fixer/problem-solver - helping teams refine requirements, diagnose issues, and drive real commercial outcomes. Day-to-day you will: Translate … complex business problems into research questions with quantifiable objectives. Identify, acquire, and work with structured and unstructured datasets. Build, validate, deploy, and monitor production ML models. Partner with data engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold ...

understand and manage complex global risks. Description * Prototyping and testing new methods for extracting insights from structured and unstructured datasets* Developing and maintaining scalable ML and data pipelines for experimentation and deployment* Designing and improving risk models for analytical and generative AI applications* Using proprietary NLP-driven data to enhance … technical stakeholders Profile Essential: * Strong experience querying, cleaning, and analysing large datasets* Hands-on capability with computational social science methods (NLP, text analysis, ML, visualisation, forecasting)* Experience with Python and/or R, plus common data/ML libraries* Proven experience developing, refining, and monitoring NLP models* Familiarity with ...

operational models. Key Responsibilities Lead design of solutions leveraging Intelligent Automation Platforms (RPA, low-code/no-code automation, event-driven automation, AI/ML driven automation). Define architecture patterns for AI-enabled communications, including NLP, GenAI, intelligent routing, and automated decisioning models. Ensure alignment with telecom standards … Strong hands-on understanding of Intelligent Automation Platforms (e.g., Pega, UiPath, ServiceNow Automation, Automation Anywhere, Camunda, or similar). Proven experience in AI/ML, data modeling, data lakes, event streaming, and analytics (e.g., Kafka, Spark, Python ML stack). Deep exposure to telecom protocols and domains Experience with cloud ...

throughput pipelines to capture metrics such as: Model performance, drift, and degradation Operational and service health Security posture and policy adherence Guardrail compliance for ML and GenAI systems Governance and risk indicators Implement observability tooling using logging, metrics, tracing, and event-driven patterns. Apply secure-by-design principles, strong … building scalable distributed systems or data platforms. Proficiency in Python, SQL, Java , and modern data processing frameworks. Experience working with cloud-based AI/ML ecosystems , particularly AWS SageMaker (required). Understanding of monitoring frameworks , observability pipelines, and dashboards. Familiarity of event-driven architectures and messaging systems (Kafka, Vert.x ...

Role: AI/ML Computational Science Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Manager (CL7) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these … industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team, you will: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

production. Work with teams across the business to define problems, test ideas, and measure impact. Prepare data and develop models using both classical ML and generative AI. Integrate AI into digital products through services, APIs, and safe, compliant guardrails. Manage model life cycle and MLOps while sharing best practices … Skills and Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such ...

MLOps/ML Engineer – Details- 6 months IR35: Outside Location: London (1 day/month) Start: ASAPRole Build and maintain end-to-end ML pipelines Deploy models into production using CI/CD, containers, and cloud tooling Implement monitoring, drift detection, and observability Develop retrieval/LLM components using Python … with Data Science teams to scale and operationalise models Ensure compliance and governance for models in a regulated insurance environment Requirements Strong MLOps + ML Engineering background Python, ML pipelines, CI/CD, orchestration, monitoring Experience with LLM/NLP integration Knowledge of vector search & embeddings Enterprise/regulated experience ...

Senior DevOps Engineer to take ownership of the infrastructure backbone — someone who enjoys operating complex systems at scale and working closely with infrastructure, ML, and product engineering teams. What You’ll Be Doing AI Cloud Infrastructure Design, build, and operate highly available, secure infrastructure supporting AI inference, fine-tuning … down for experiments, benchmarks, and customer deployments CI/CD & Release Engineering Design and maintain CI/CD pipelines across backend, infrastructure, and ML components Implement safe deployment strategies (e.g. blue/green, canary releases) Partner with engineers to improve build speed, test reliability, and deployment confidence Observability, Reliability ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed systems handling massive datasets. Deploy and monitor ML models in production environments using Vertex AI, Docker, and Kubernetes. Required Skills & Experience Strong proficiency in Python for AI/ML workflows . Strong proficiency … . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales-tech ...

provide technical mentorship. Reporting to the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance. Troubleshoot and resolve complex issues quickly, ensuring platform reliability and uptime. Skills and Experience 8+ years of commercial software development experience. … delivering high-quality software under tight timelines. Strong communication skills, able to motivate and align technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: exposure to startup environments. What We Offer Hybrid working as standard (minimum 3 days a week in office) 25 days annual ...

project delivery for some of the leading FTSE-100 companies, shaping how they apply data, analytics, and innovation across their business lifecycle Continuous learning and growth through Accenture’s world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business AI, focusing on domains like ...

project delivery for some of the leading FTSE-100 companies, shaping how they apply data, analytics, and innovation across their business lifecycle Continuous learning and growth through Accenture’s world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business AI, focusing on domains like ...

doing Responsibilities vary by project, but typically include: Designing and building AI-powered systems using Python, TypeScript, or similar Working with LLMs and traditional ML models to solve real-world problems Supporting solution and architecture design for AI systems Collaborating directly with clients to understand requirements and constraints Participating … junior to mid-level who wants to grow quickly in applied AI. Essential: A solid understanding of AI fundamentals, including modern LLMs and traditional ML Ability to contribute technically when needed (coding, prototyping, or technical explanation) Experience working with stakeholders or clients, or a strong interest in doing so Clear ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

Data Scientist – MRO AI Solutions (Embedded in Operations) Role Purpose We are seeking a highly skilled Data Scientist to develop advanced AI and ML models that unlock operational value within a major corporation's maintenance, repair, and operations (MRO) function. The role requires the ability to translate complex data insights … performance metrics. Develop scalable and reusable AI solutions that can be generalized for other operational units. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical, analytical, and problem-solving skills. Experience with a wide range of Data Science techniques (ML, optimization, simulation, GenAI, etc.). ...

requirements Act as technical lead, translating business and end-user needs into robust, deployable solutions Lead development of core digital products covering process planning, machine control, and data platforms Drive scalable, modular, and industrial-grade software architecture across desktop, real-time, and cloud systems Remain hands-on with … architecture, code reviews, and resolution of critical technical issues Lead adoption of advanced digital capabilities including digital twins, data-driven qualification, and AI/ML Establish best practices for software quality, DevOps, CI/CD, and cloud deployment Lead, mentor, and grow a multidisciplinary software and controls team Skills & Experience ...

days in office) Duration 12 months Competitive Day Rate (Inside IR35) Key Expectations from the role: Technical leadership and architecture Delivery ownership AI/ML solution stewardship People leadership Stakeholder and product partnership Controls and governance Key Skills: Expert level proficiency in Java and/or Python. Cloud-native systems … compute, storage, networking, IAM, KMS, observability). Demonstrated success in leading teams Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated ...

Data Governance & Quality Establish data stewardship processes and governance frameworks Implement metadata standards, symbology conventions, and data validation mechanisms Leverage automation and AI/ML for data quality improvement 5. Geospatial Analytics & Modelling Enable spatial analytics, economic modelling, and visualization tools Support decision-making and public engagement through intuitive dashboards … Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer) Experience with legacy GIS systems (Intergraph, Smallworld) and data migration Familiarity with AI/ML applications in geospatial data quality and analytics Agile delivery experience and ability to lead cross-functional teams ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe … guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Collaboration ...

requirements for data pipelines, reporting, and analytics capabilities Ensure data solutions support business, regulatory, and operational needs AI & Advanced Data Capabilities Apply AI/ML-aware thinking to data pipelines, quality processes, automation, and insight generation Identify opportunities to use AI for data validation, anomaly detection, reconciliation, and reporting efficiency … Familiarity with cloud-based data platforms and modern data tooling Comfortable working closely with engineers, architects, and analytics teams Strong awareness of AI/ML concepts and their application within data platforms (hands-on coding not required) We're looking for a highly proactive, confident data leader who is comfortable ...

.Net Developer (E-Trading & Front Office)12 Month ContractLocation: London (Hybrid) Lorien's UK leading Investment banking client are currently looking for a highly skilled .Net Developer to join the team on an initial 6 ...

based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools … Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable ...

modern, cloud-native platform is built, secured, and operated. This is an exciting challenger, where you will gain opportunities to explore AI/ML governance for safe AI adoption. Our client is offering a basic salary of £95,000 + benefits + to operate on a fully remote basis.You … high-assurance environments (health care, finance, public sector, etc.) Ability to explain complex technical decisions clearly to non-technical stakeholders Experience with AI/ML governance or safe AI adoption Fully remote interview process. ...

testing and continuous prompt improvement cycles Use data-driven insights to guide prompt iteration (40–50% of role focus) Cross-Functional Collaboration Partner with ML engineers, data scientists, and scientific SMEs Translate complex life sciences requirements into precise model instructions Support integration of LLM capabilities into production workflows Prompt Governance … Strong stakeholder communication skills Highly Desirable Experience in life sciences, pharma, or regulated environments Familiarity with vector databases and retrieval pipelines Experience working with ML/AI engineering teams in production settings Understanding of governance requirements in regulated industries ...