1,001 to 1,025 of 4,181 Machine Learning Jobs in England

to find new medicines.They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for the clients’ scientists, engineers, and decision-makers, increasing productivity and reducing time spent … on “data mechanics” Providing best-in-class AI/ML and data analysis environments to accelerate the cleints’ predictive capabilities and attract top-tier talent Aggressively engineering their data at scale, as one unified asset, to unlock the value of their unique collection of data and predictions in real-time Automation of end-to-end data flows: Faster and reliable More ❯

Collaborate in an Agile/Scrum environment with other talented developers What you bring: Strong experience in C#, .NET Core, ASP.NET, WebAPI Hands-on with Python, ideally with some ML or AI experience Solid SQL skills (MSSQL, PostgreSQL, MySQL) Experience with DevOps, CI/CD, Docker, and cloud platforms A proactive, problem-solving mindset and love for clean, maintainable code More ❯

governance, and compliance frameworks within regulated or government environments. Desirable Databricks Certified Data Engineer/Architect or equivalent. Familiarity with Snowflake, Redshift, or Synapse . Experience supporting AI/ML platform integration and advanced analytics use cases. More ❯

platforms and enhance operational efficiency through innovative solutions. Nice to Have : Background in software delivery, with a solid grasp of CI/CD pipelines and DataOps methodologies. Exposure to ML/AI implementations. 3. Process & Delivery Management Operational Excellence : Manage delivery timelines, performance metrics, and team operations effectively. Support technology upgrades, evaluate new tools, and adopt emerging trends. Strategic Vision More ❯

platforms and enhance operational efficiency through innovative solutions. Nice to Have : Background in software delivery, with a solid grasp of CI/CD pipelines and DataOps methodologies. Exposure to ML/AI implementations. 3. Process & Delivery Management Operational Excellence : Manage delivery timelines, performance metrics, and team operations effectively. Support technology upgrades, evaluate new tools, and adopt emerging trends. Strategic Vision More ❯

platforms and enhance operational efficiency through innovative solutions. Nice to Have : Background in software delivery, with a solid grasp of CI/CD pipelines and DataOps methodologies. Exposure to ML/AI implementations. 3. Process & Delivery Management Operational Excellence : Manage delivery timelines, performance metrics, and team operations effectively. Support technology upgrades, evaluate new tools, and adopt emerging trends. Strategic Vision More ❯

techniques, ETL and Normalisation Data Cleanse/Quality- Base lining, measurement, and improvement Experience scaling and optimizing mature data platforms and driving enterprise-wide adoption Knowledge of AI/ML implementation strategies and practical applications in business contexts Experience with Generative AI technologies, LLMs, and their enterprise implementation Experience developing AI-powered solutions that enhance business intelligence capabilities If you More ❯

techniques, ETL and Normalisation Data Cleanse/Quality- Base lining, measurement, and improvement Experience scaling and optimizing mature data platforms and driving enterprise-wide adoption Knowledge of AI/ML implementation strategies and practical applications in business contexts Experience with Generative AI technologies, LLMs, and their enterprise implementation Experience developing AI-powered solutions that enhance business intelligence capabilities If you More ❯

Build, Jenkins, GitHub Actions. Proven experience with Terraform and other IaC tools. Experience in multi-cloud environments . Familiarity with monitoring tools such as Prometheus Exposure to AI/ML infrastructure and data workflows in financial services. People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche More ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

technic al delivery.Desirable Qua lifications Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Power BI Data Analys - t Associate).Experience in consulting environments or client- - facing roles.Knowledge of AI/ML integration within analyti - cs platforms.Understanding of data mesh and data fabric a rchitectures. More ❯

AWS, Azure, GCP) Experience integrating AI or automation into operational workflows (e.g., monitoring, alerting, or data pipelines) Some knowledge of Atlassian Jira & Confluence Interest in emerging technologies (AI/ML, blockchain, IoT, edge computing) Open-source contributions or personal tech projects you're proud of Other Highly Desirable Skills: Previous Application Support - Ideally Trading/Market Data - Futures & Options Trading More ❯

Introduce forward-thinking AI capabilities and identify new business-value opportunities. Key Skills: 10+ years in IT, including 5+ years in Enterprise Architecture and 3+ years in AI/ML Hands-on expertise designing agentic or multi-agent AI systems and Generative AI solutions Strong knowledge of Azure cloud-native architecture Practical experience with Python-based agent frameworks (e.g., LangChain More ❯

building, and scaling high-availability RESTful APIs for mobile or web clients. ? Demonstrated experience with real-time applications and data streaming technologies (e.g., Experience integrating third-party AI/ML APIs (e.g., Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working More ❯