476 to 500 of 1,363 Machine Learning Jobs in the UK

enabled products and solutions using modern architectures including: LLM-based applications RAG pipelines AI orchestration layers agent-based systems Work closely with data scientists, ML engineers, and data engineers to move ideas from concept to implementation. Evangelism & Thought Leadership Act as an internal and external advocate for practical AI adoption … roles Strong understanding of generative AI ecosystems and large language models Exposure to modern AI architectures and system design Experience shaping or delivering AI, machine learning, or advanced analytics initiatives Ability to move from strategic conversation to practical implementation Strong communication and stakeholder engagement skills Technical Awareness Candidates ...

organisation. They are looking for a Lead Data Scientist with deep optimisation expertise to drive high-impact decisioning solutions. This is not a generic ML role. The focus is on advanced optimisation modelling applied to real-world operational problems at scale . The Role You will take ownership of complex … Ability to lead solution design and drive delivery Important: This role requires deep optimisation expertise. It is not suited to candidates focused primarily on machine learning models or dashboards. Nice to Have Experience with simulation or scenario modelling Ideally experience within aviation, airline, or closely related industries Background ...

site selection event on 5 May 2026. Desired Skills and Experience: Experience with ReactJS. Familiarity with geospatial data science or remote sensing. Knowledge of machine learning techniques and automation workflows. Interest in energy markets, commodities trading or environmental analytics. Exposure to satellite imagery analysis, AI applications or alternative … your development. You’ll also benefit from: Full‐time, hands‐on experience working directly with one of our leading clients Access to the Udemy learning platform Ongoing support and regular check‐ins from the Aubay team The potential to be considered for a future direct role with the client ...

/LLM/Cloud (Enterprise Scale) We are hiring an experienced AI Architect to lead the design and governance of enterprise-grade AI/ML and Generative AI solutions across data, application and cloud infrastructure layers. This is a senior-level architecture role focused on delivering production-ready … deploy LLM solutions (GPT, BERT, Transformers) including RAG pipelines and vector databases Lead LLMOps/MLOps strategy including model lifecycle, CI/CD for ML, model registry and monitoring Design scalable cloud-native AI solutions in Azure, AWS or GCP Ensure governance, Responsible AI, security, compliance and non-functional requirements ...

delta lake tables, security policies, and data governance within Fabric. o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions. Troubleshoot and resolve data-related ...

reports, dashboards and visualisations to explain model behaviour and analytical findings. Working knowledge of SQL and relational databases. Desirable: Exposure to Data Engineering or machine-learning-focused development. Experience developing within the .NET ecosystem (ideally .NET 5+). Familiarity with Python or R. Strong interest in sports analytics ...

core business metrics, product telemetry, customer health signals and financial KPIs Create a scalable semantic layer for LLMs to query reliably Predictive Analytics and Machine Learning Deploy lightweight production ready models including churn prediction, usage forecasting, anomaly detection and upsell indicators Implement monitoring and automate downstream workflows using ...

frameworks such as React, Angular, or Vue. Experience working with cloud platforms such as AWS or Google Cloud. Exposure to data analytics or machine learning concepts. Knowledge of 5G, LTE, WAN technologies, or network management systems. Experience with geospatial mapping or GIS tools. Who You Are: A motivated ...

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 ...

decisions Translate technical insights into product & revenue impact What we’re looking for 4+ years in hands-on Data Science Strong Python + cloud ML/data tooling (GCP, AWS, or similar) Proven track record of shipping models into production Strong experimentation & product analytics experience Product mindset — you care about ...

bids Technology environment You don’t need to know everything, but experience across areas such as: • Azure data ecosystem (Data Factory, Synapse, Databricks, Azure ML, Azure OpenAI) • Power BI • SQL Server • Cloud data architectures • API/integration design Nice to have exposure to: • Microsoft Fabric • Multi-cloud environments (AWS/ ...

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

agile/lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/ ...

microservices, and backend systems. Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices. Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents). Ability to move fast without compromising on code quality, testing, and operational ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. Continuously iterate ...

including prompt engineering and fine-tuning LLMs in a commercial setting. Skilled at working with non-technical stakeholders to scope, design and deliver effective ML solutions. Proficient with the Python data science stack (pandas, scikit-learn, Jupyter, etc.) and version control tools like Git. Exposure to LLMOps, model monitoring ...

will define data models, storage patterns, pipelines, and governance frameworks that support machine learning and analytics. Working closely with data engineers and ML engineers, you will ensure data is well-structured, accessible, secure, and scalable for AI use cases. Key Responsibilities Design and maintain data models and schemas … multiple sources. Establish data governance, quality, security, privacy, and compliance standards. Implement metadata management and data lineage for transparency and traceability. Collaborate with data, ML, and analytics teams to deliver AI-ready datasets and features. Monitor, optimise, and scale data platforms for performance, cost efficiency, and growth. Required Qualifications Bachelors ...

/Cloud (Enterprise Scale) We are seeking a highly experienced AI Architect to lead the design, standardisation, and governance of enterprise-scale AI/ML and Generative AI platforms spanning data, application, and cloud infrastructure layers. This is a senior architecture position centred on building and overseeing production-grade … Transformer models), including RAG pipelines and vector database integrations Establish and lead LLMOps/MLOps strategy, including model lifecycle management, CI/CD for ML, model registries, and monitoring frameworks Design and deliver scalable, cloud-native AI platforms across Azure, AWS, or GCP Ensure Responsible AI standards, governance, security, compliance ...

generate innovation and support delivery from internal teams. Technical Leadership You'll guide teams in applying advanced analytical techniques including statistical modelling, predictive analytics, machine learning, and presentation of impactful insight. Team Development As a senior leader within the analytics practice, you'll mentor analysts and senior analysts … providing technical guidance and professional development. You'll foster a culture of continuous learning and analytical excellence while helping team members grow their consulting and technical skills. Set ambitious standards for delivery quality and consultant performance, fostering a culture of proactivity, ownership, and excellence. Motivate teams through clarity, constructive ...

reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate … optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...

strategy and delivering innovative solutions across large-scale environments. Key Responsibilities AI Solution Architecture Design and architect enterprise-grade GenAI, Agentic AI and ML solutions aligned to client business goals. Build scalable architectures using modern cloud platforms ( Azure, AWS or GCP ). Lead the design of RAG-based solutions … Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow). Knowledge of MLOps/LLMOps practices and tooling (MLflow, Kubeflow, Docker, Kubernetes). Experience delivering AI solutions on AWS, Azure ...

deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What Youll Bring Proven experience … analytics, BI, or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field ...

data-focused programmes. Strong understanding of Agile delivery frameworks (Scrum, Kanban, or scaled agile). Experience delivering data platforms, analytics solutions, or AI/ML products. Comfortable working in consulting or client-facing environments. Ability to manage multiple stakeholders across technical and business teams. Strong communication, organisation, and leadership skills. … Experience Experience working with Data Engineering or Data Science teams. Exposure to cloud platforms such as Azure, AWS, or GCP. Experience delivering data platforms, machine learning solutions, or analytics products. Previous experience working in government or regulated environments. Security Clearance Due to the nature of some client engagements ...