451 to 475 of 1,076 Machine Learning Jobs in the UK

skilled Data Engineer to design, build, and optimize enterprise-scale data pipelines and cloud platforms. You will translate business and AI/ML requirements into robust, scalable solutions while collaborating across multi-disciplinary teams and external vendors. As a key member of the data architecture you will: Build and orchestrate … with cloud platforms (Snowflake, AWS fundamentals). Solid understanding of data architecture, warehousing, and modeling. Programming expertise: Python, Spark, SQL, API integration. Knowledge of ML/AI frameworks, MLOps, and advanced analytics concepts. Experience with CI/CD, data testing frameworks, and versioning strategies. Ability to work effectively in multi ...

make change stick. The business has a strong track record across complex, high-stakes environments, and is now scaling its DS capability to deliver ML, GenAI and simulation solutions end-to-end. For high performers, there’s clear progression and the chance to shape the direction of a growing … hiring at Lead (3-5 years of experience) to Principal level (5-10+ years of experience). Key Responsibilities Build and deploy machine learning models and simulation tooling in secure environments Lead technical delivery across multi-disciplinary teams, including consultants and engineers Work closely with client stakeholders ...

ensure the reliability and accuracy of key datasets and processes. •Collaborate with teams to define relevant metrics, thresholds, and KPIs. •Build, maintain, and productionise machine learning and statistical models using Python and PySpark. •Design and implement automation tools which can help dynamically adapt our products to external changes … quality of analytical outputs. Skills Needed: •Proficiency in Python and SQL for analysis, model development, and data interrogation. •Comfortable deploying statistical or ML models into production environments. •Strong understanding of cloud infrastructure, preferably AWS. •A methodical, problem-solving mindset with high attention to detail. •Able to scope, define, and deliver ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

Details Role/Job Title: AI/ML Architect Work Location: London Mode of Working: Hybrid Office Attendance (Hybrid): 2 days from office Number of Positions: 4 The Role An AI/ML Developer is responsible for designing, building, and deploying machine learning models and AI solutions that ...

work on practical, production software that supports engineering teams day to day. While some solutions use data-driven or automation techniques (including AI/ML), the role is fundamentally about strong software engineering , sound judgement, and reliability. What You'll Be Doing Hands-on software engineering Design, build, test … Experience in engineering, industrial or regulated environments Exposure to cloud platforms (e.g. AWS) Experience with data-heavy systems, automation or analytics Some familiarity with machine learning or optimisation concepts (not essential) Why Join A 12-month contract with strong extension potential Competitive £54/hr umbrella rate (inside ...

modern finance. The Opportunity This opportunity offers the chance to lead the build-out of a next-generation data platform that underpins advanced analytics, machine learning, and AI capabilities for a growing financial services organisation. The business operates as a modern challenger in the market, delivering specialist lending ...

independently manage substantial technical projects Desirable Skills Experience with Vue3, TypeScript, Django, or full-stack development Familiarity with AWS EKS deployments Exposure to machine-learning or agentic-AI pipeline development Understanding of FEA, CFD, aerothermal design, or turbomachinery principles This position is only open to NATO passport holders ...

highly successful and scaling SaaS tech company. As a Senior Front End Developer you'll contribute to the core product, an AI and Machine Learning platform that is used within the automotive sector for a range of purposes e.g. engine calibration, whilst providing technical leadership and guidance ...

role in a relevant industry. An interest in the field of Digitalisation and Technology Exposure to projects or coursework related to data analysis, statistics, machine learning or database management Exposure to languages and tools used in data analytics, such as Python, R, or SQL. Also, some exposure ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

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 ...

Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. ...

Model transformation with working knowledge of Agile, Kanban, DevOps methodologies Expertise in Migration to Cloud (Any Hyperscalar: GCP, AWS, Azure) Expertise of AI/ML models especially building RCPG use cases like Promotions, Demand Forecasting etc. ...

Redis - caching & high-speed data access Elasticsearch - search & indexing strategies Other modern data technologies for fast storage and retrieval Strong expertise in AI/ML integration within enterprise architectures Deep knowledge of data modelling, distributed systems, and micro-services Experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required You will already hold an active eDV security clearance This is an incredible opportunity ...

Fabric solutions, including dataflows, data warehouses, and real-time analytics features. Develop and maintain ETL/ELT processes to support business reporting, analytics, and machine learning. Optimise data architectures for performance, reliability, and cost efficiency in cloud environments. Collaborate with data architects, analysts, and business stakeholders to gather requirements ...

APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents (LangChain, LlamaIndex, custom architectures) What ...

Engineer role within the AWS public cloud is both dynamic and forward-looking. Alongside developing strong technical skills across AWS core services, AI/ML platforms, and cloud-native tooling, engineers learn to diagnose complex issues, analyse model and pipeline behaviour, report incidents, and clearly communicate solutions that enable data … support scalable AWS-based AI architectures that deliver seamless support for users, developers, and stakeholders. Develop a strong foundational understanding of AWS, AI/ML services, and cloud operations, supporting progression into advanced cloud, data, or machine learning engineering pathways. Create specialist AI support engineers with subject matter ...

unlock value from operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise in AI/ML and a strong ability to translate insights into business impact.Key Responsibilities Design and implement predictive and prescriptive models for MRO AI Solutions. Perform exploratory data analysis … performance. Develop models and analytics that can be generalised and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). ...