476 to 500 of 4,929 Machine Learning Jobs in England

restricted environments. About the Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and implement production architectures for agentic AI, LLM and vision‐language applications. … your choice! Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up! Relaxed dress code policy Learning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance ...

Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also … architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish ...

continuous delivery (CI/CD) practices. Build a rapport with the Lead Software Engineer and Head of Product while fostering a culture of continuous learning and improvement. Collaborate with the product and design teams to deliver high-quality products that meet customer needs. Stay up-to-date with … years of experience as a software engineer (prior software engineering internships and experience/projects a significant plus). Passion for understanding AI and machine learning technologies. Experience with Python, JavaScript, and other programming languages. Understanding of cloud computing technologies OR experience with AWS, Azure, or GCP. Excellent ...

About Atom Learning We're Atom Learning and our mission is to help every child reach their potential. We combine exceptional teacher-made content with technology, data science and machine learning to make high-quality, personalised education more accessible. Our aim is to give every child … access to the kind of insight, support and individualised learning that was once largely limited to expensive private education and tutoring. We're one of Europe's fastest-growing EdTech companies. Since 2018 we've grown from a startup of four friends to over 100 people, with specialists across ...

surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification … data assets and useful analytical models in Microsoft Fabric and Databricks. Advanced Python, SQL and PySpark, including experience with data transformation, analysis and common machine-learning libraries. Hands-on experience designing and operating scalable data pipelines, lakehouse data models, Delta and SQL transformations, and data-quality controls ...

trusted sourcing. Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps. Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data … . Secure AI‐related secrets, tokens, and API access used in pipelines and applications. Monitor and respond to security risks introduced by AI/ML components, including third‐party models and APIs. Contribute to AI risk governance, auditability, and traceability across the SDLC. Stay current on emerging AI security threats ...

relevance, and emerging technologies, the school offers a range of undergraduate and postgraduate courses designed in collaboration with industry professionals. Students benefit from flexible learning options, expert academic support, and a curriculum that bridges theory with real-world application, ensuring they graduate ready to meet the demands of today … Computing , or a related discipline Experience of teaching in higher education or professional training environments Strong subject knowledge in areas such as: Data Science: machine learning, data analytics, big data technologies, AI Cyber Security: network security, ethical hacking, digital forensics, infoSec Excellent communication and interpersonal skills A commitment ...

skills with experience working within multidisciplinary teams. Desirable skills and experience Experience processing/analysing Earth Observation or remote sensing data. Exposure to AI, Machine Learning or GeoAI applied to spatial data. Experience with raster processing, vector tiling or spatial ETL workflows. Experience working with Geographic Foundation Models … GeoFMs), large geospatial AI models or multimodal spatial machine learning would be advantageous. Experience working within consultancy environments and engaging directly with clients. Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or Terraform. Understanding of the Government Digital Service Standard and Technology Code of Practice. Senior ...

platforms and tools to collect and analyse data, deploying the latest in AI technology, strategy and practice* Employ a variety of qualitative, statistical and machine learning-oriented approaches to investigate and interpret data* Work with other data scientists to build and support custom solutions, applications and processing pipelines … your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach ...

trusted sourcing. Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps. Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data … . Secure AI‐related secrets, tokens, and API access used in pipelines and applications. Monitor and respond to security risks introduced by AI/ML components, including third‐party models and APIs. Contribute to AI risk governance, auditability, and traceability across the SDLC. Stay current on emerging AI security threats ...

stakeholders to define technical requirements and propose Databricks-based solutions. Drive best practices for data engineering. Help clients realise the potential of data science, machine learning, and scaled data processing within Azure/Databricks ecosystem. Mentor junior engineers and support their personal development. Take ownership for the delivery ...

technical decisions and supporting capability development. Exposure to big data technologies such as Spark, Hadoop or NiFi. Experience with Ansible and Terraform. Understanding of machine learning algorithms and deployment. ...

Google Cloud, or Azure. Experience with big data tools: Hadoop, Spark, Kafka, etc. Knowledge of data integration tools like Informatica, Talend, etc. Understanding of machine learning algorithms and statistics. Experience with data visualization tools like Tableau, PowerBI, etc. Knowledge of data warehousing solutions and ETL tools. Familiarity with ...

technical platform capabilities across the product lifecycle. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. … SAST, DAST) within pipelines like GitHub Actions, alongside release packaging and artifact management. Capability to develop secure, automated infrastructure using Terraform. You enjoy learning about both the offensive and defensive aspects of security. Ability to work collaboratively within enterprise-wide agile development environments. Outstanding communication skills (both written ...

concurrent, distributed applications at scale Experience working with DevOps or SRE teams to support production environments Strong communication and collaboration skills A passion for learning, continuous improvement and delivering high-quality software And it would be great if you had any of the following Experience with PHP Experience with … based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within fintech, payments or a fast-paced startup ...

Have working knowledge of Python or another programming language for analysis Be familiar with Git, version control and modern analytics workflows Understand AI and machine learning concepts and their practical application Mentor others and raise the quality of analytical work across a team Have at least 4 years ...

actuarial model deployment Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) — awareness required, not hands‐on ownership Experience with ML lifecycle tooling — MLflow, Azure ML, or equivalent Python proficiency — able to read and review analytical code, contribute where needed Consulting or forward‐deployed engineering background (Palantir … leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We’re an ethical ...

experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging ...

Nice to have: experience with telemetry, sensor, location, and operational technology data platforms; large-scale video, image, and unstructured media datasets; feature engineering and machine learning data preparation; private cloud and on-premises environments; maritime, fleet, vessel operations, logistics, or industrial operational domains Условия Salary varies by regional ...

technology into secure, production-ready solutions. This is an opportunity to work directly with clients, translating complex business challenges into applications that combine traditional machine learning, Generative AI and agentic workflows. You’ll work across the full application lifecycle, from early prototypes and MVPs through to testing, deployment ...

Data Engineers, Data Scientists, and Platform Teams* Technical documentation and knowledge transfer* Agile delivery experience**Desirable Skills*** POSIT/RStudio migration experience* AI/ML and LLM integration* RAG and Vector Database exposure* Regulated industry experience## **We are a Disability Confident Employer:**Capgemini is proud to be a Disability Confident … does 'Get The Future You Want' mean for you?**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 ...

Data Engineers, Data Scientists, and Platform Teams* Technical documentation and knowledge transfer* Agile delivery experience**Desirable Skills*** POSIT/RStudio migration experience* AI/ML and LLM integration* RAG and Vector Database exposure* Regulated industry experience## **We are a Disability Confident Employer:**Capgemini is proud to be a Disability Confident … does 'Get The Future You Want' mean for you?**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 ...

than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high-autonomy role with real scope to shape what the company's AI products … collaborative environment for your squad, providing wider context and clear goals so everyone can do their best work Work with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI models Communicate strategy, initiatives, and progress transparently across the organisation Translate complex ...

execute a comprehensive account strategy that drives revenue growth, deepens customer adoption across the full AWS portfolio — including compute, networking, storage, AI/ML, Generative AI, and edge solutions — and positions AWS as the preferred cloud partner for next‐generation telco workloads. This role requires deep understanding of the telecommunications … technology decisions align with long‐term business goals. Solution‐Led Selling: Drive solutions discussions diving deep into complex challenges — including modernization, migration, AI/ML, and infrastructure optimization for telco workloads. Recommend AWS products and services aligned with how the Telco delivers solutions to their end customers (Telco operators globally ...