301 to 325 of 960 Machine Learning Jobs in the UK excluding London

features. Who We're Looking For We're looking for a curious, analytical, and enthusiastic graduate who enjoys solving problems and learning new technologies. You'll be proactive, organised, and eager to develop your technical skills while working collaboratively in a supportive team environment. Requirements Essential Bachelor's degree … Google Gemini. Familiarity with Microsoft Excel or Google Sheets for handling data. Basic programming knowledge in Python, SQL, or JavaScript. Understanding of AI, machine learning, prompt engineering, or data analysis through university coursework or personal projects. Previous internship, placement, or personal projects related to AI or technology. Familiarity ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelor’s degree or equivalent experience; Master’s degree is a plus ...

environments. Experience with cloud platforms such as Azure, AWS or GCP. Understanding of cybersecurity for connected devices and IoT systems. Exposure to AI/ML technologies and data-driven applications. Experience with mobile, web, IoT, Embedded Linux, Python, FPGA or MATLAB development. Why Join Us? You'll have the opportunity ...

that let our AI and hardware teams move fast without breaking things. This is a high-impact, high-ownership role at the intersection of ML research, compiler stacks, and novel hardware. What You'll Do Design and operate end-to-end ML pipelines: data ingest, training, evaluation, quantisation, and deployment … model registry, and versioning infrastructure (e.g. MLflow, W&B, or equivalent) tuned to our hardware-in-the-loop workflows Own CI/CD for ML: automated testing of model correctness, numerical accuracy, and on-chip performance after every change to models, compilers, or firmware Develop and maintain tooling for benchmarking ...

visualization best practic es.Programming & Data Science: Hands-on with Python or R for analytics, modeling, and automati on.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity … from SaaS applications, APIs, and public data sourc es.Proven record of delivering data-driven insights, advanced analytics, and predictive mode ls.Experience implementing AI or machine learning solutions for business intelligence is an advanta ge.Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related ...

with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications in containerised environments, including defining services … employees are eligible to request flexible working arrangements. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external ...

security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents, and advanced machine learning frameworks. Extensive hands-on experience with message-based technologies such as Apache Kafka and AMPS, including design, deployment, and optimization. Advanced proficiency ...

ecosystems using Azure, AWS or GCP Data strategy, operating models and transformation roadmaps Data governance, data quality and wider data management initiatives AI and machine learning use cases that support business growth and innovation Programme governance, planning, risk management and delivery activities Cross-functional teams including Architects, Engineers ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Bachelor’s degree or equivalet experience; Master’s degree is a plus ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy ...

Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge of AI/ML platforms and MLOps practices. Experience with graph databases and knowledge engineering solutions. Experience implementing data mesh or data fabric architectures. Enterprise Architecture experience. Experience leading ...

approach JSON/XML response validation Hands-on AI Experience Hands-on experience integrating AI into testing workflows Understanding of AI/ML testing challenges and solutions Experience with AI-powered test generation or analysis tools ADDITIONAL REQUIREMENTS Strong experience in software testing and automation Strong understanding of CI/ ...

development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly ...

Analysis, Agile Delivery, User Centred Design etc. Awareness of emerging trends such as AI, automation and data-driven product development Exposure to AI or Machine Learning use cases within digital or technology delivery Experience or interest in generative AI tools (e.g. copilots, automation, content or code generation) Familiarity … consecutive years. To see what it’s like to work at Capgemini Invent, visit our Glassdoor Page. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. You’ll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants ...

Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives. Your Mission We are hiring Forward Deployed … contributions. A founder's mindset and genuine appetite for ambiguous, high-impact technical challenges. Bachelor's or Master's in Computer Science, Machine Learning, or a related technical discipline. Bonus Skills/Experience Public writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML ...

real value You’re comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You’re pragmatic, adaptable and outcome-focused You enjoy sharing knowledge and helping … from various sectors. Your responsibilities: Develop pipelines that bring data to life for decision-making, either delivering insight or for more sophisticated AI & machine learning applications Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information, and an understanding of data ...

Azure, AWS, BigQuery or similar technologies. Experience with modern orchestration and transformation tools. Experience working within regulated or highly governed environments. Experience supporting analytics, machine learning or operational data products. Knowledge of data governance, access management and security best practices. Why Veygo? At Veygo, we're here … success. 33 days' holiday (including bank holidays), increasing with service, plus the option to buy or sell up to five additional days. Ongoing learning and development, leadership programmes and opportunities to grow your career across Admiral Group. Flexible hybrid working, with most colleagues spending one or two days ...

firms across personal injury and clinical negligence. Fletchers is one of the UK’s largest and fastest-growing consumer law firms. We began using machine learning in real legal work back in 2017 and then went on to build what we think was the first dedicated AI team … Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers: 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

hypothesis testing, regression, etc.) Financial services or consulting background preferred Strong analytical and problem-solving capabilities Excellent stakeholder management and communication skills Knowledge of machine learning, AI, or data governance frameworks Familiarity with Agile methodologies Degree in a quantitative discipline such as Mathematics, Statistics, or Computer Science Location ...

Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready to contribute to vital ...

Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging ...

This could include experience with technologies such as: Azure AI Foundry Azure OpenAI Microsoft Copilot Large Language Models (LLMs) AI-powered analytics Intelligent automation Machine Learning services You don't need to be an AI specialist, but you'll be able to demonstrate practical exposure to AI technologies ...

Certification Microsoft Purview Azure DevOps and CI/CD Manufacturing or FMCG experience ERP, WMS or MES integrations Azure AI Foundry Data Science or Machine Learning exposure Why Join Raynor Foods? This isn't just another Data Engineering role. You'll have the opportunity to: Build an enterprise ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI‐enabled development patterns ...