551 to 575 of 1,940 Machine Learning Jobs in the UK excluding London

relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. • The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. • Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. • Complex problem-solving … ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. • Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/ More ❯

with a proactive, solutions-focused approach. A degree (Bachelor's or Master's) in Data Science, Statistics, Computer Science, Business Administration, or a related field. (Desirable) Experience within SaaS, machine learning, or AI environments. The Perks 25 Days Holiday, increasing 1 day per year with service (up to a maximum of 28) The option to buy up to … Escape Lounges and Airport Parking Rail and retail discounts 2 paid volunteering days per year Access to internal events calendar including regular health & wellbeing activities, ID&E initiatives and learning sessions Formal and informal development opportunities, including mentoring programmes and learning grants Enhanced parental leave (T&Cs apply) The Interview Process - Please note this may change 1️ Recruiter More ❯

cleanliness We're excited if you have 5+ years of hands-on experience with automation systems 3+ years of programming experience, preferably with Python for scripting and working with machine learning tools Ability to design, implement, and optimize solutions leveraging LLMs via API Experience using various LLMs (Open AI, Anthropic APIs) and AI Frameworks like langchain, Tensorflow etc. … work independently Previous experience with Non-Functional Testing (Performance Testing, Stress Testing) Experience with infrastructure as code and orchestration technologies (Terraform, Kubernetes, CloudFormation) Certifications or training in AI/ML or AI testing (e.g., Coursera AI for Everyone, Google AI Engineer, ISTQB AI Testing Foundation) Benefits Roku is committed to offering a diverse range of benefits as part of our More ❯

process, and organisational dimensions. Champion agile and product-centric operating models for technology teams within client environments. AI & Data-Driven Innovation Identify and lead opportunities to embed AI and machine learning into the retail value chain (e.g., demand forecasting, personalisation, pricing optimisation, customer insights). Shape AI-enabled commerce platforms, search and recommendation systems, and automation-led operational … order management , POS , ERP , CRM , and loyalty systems . Demonstrated experience with cloud-native architectures (AWS, Azure, GCP), microservices , APIs , DevOps , and data platforms . Familiarity with AI/ML use cases in retail and knowledge of GenAI advancements relevant to customer experience and operations. Strong understanding of agile delivery models , product management practices , and enterprise architecture. Excellent communication and More ❯

Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. … and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects More ❯

Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. … and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects More ❯

Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. … and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects More ❯

workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern More ❯

workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern More ❯

workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern More ❯

sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced Senior Data Engineer with strong expertise in Databricks , Azure More ❯

delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud More ❯

delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud More ❯

delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud More ❯

Nice to Have: Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up environments. Mindset & Attributes: Positive More ❯

Nice to Have: Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up environments. Mindset & Attributes: Positive More ❯

processing, and analysis, to simulation and car setup optimisation, to trackside operational decision-making tools such as race strategy. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focussed platforms and solutions. As a Senior Specialist Software Engineer, your role will combine elements of technical leadership, agile/ More ❯

BDD, Performance/Load testing etc. DevOps experience - CI/CD, Test Automation, Containerization - tools and processes. Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such More ❯

for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently More ❯

Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best people More ❯

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control: Git-based workflows, Jira … current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or MOD/National Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a … impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership opportunities. Tech & training: Palantir certification & AI/ML training included. Culture: Perfect for veterans and security-cleared professionals seeking purpose-driven work. Trajectory: Series A-funded, one of the fastest-growing UK tech start-ups in defence data More ❯

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control: Git-based workflows, Jira … current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or MOD/National Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a … impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership opportunities. Tech & training: Palantir certification & AI/ML training included. Culture: Perfect for veterans and security-cleared professionals seeking purpose-driven work. Trajectory: Series A-funded, one of the fastest-growing UK tech start-ups in defence data More ❯

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control: Git-based workflows, Jira … current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or MOD/National Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a … impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership opportunities. Tech & training: Palantir certification & AI/ML training included. Culture: Perfect for veterans and security-cleared professionals seeking purpose-driven work. Trajectory: Series A-funded, one of the fastest-growing UK tech start-ups in defence data More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯