1,026 to 1,050 of 2,712 Machine Learning Jobs in England

engineering Solid knowledge of cloud platforms, e.g. Azure/AWS/GCP (mandatory) Mastery of Docker architecture, containerization, and CI/CD tools Proven experience in MLOps practices, integrating machine learning models into scalable, secure production environments is a great plus Comfortable working with Bitbucket, Git, Confluence, and Jira Familiarity with platforms like Databricks is a strong advantage More ❯

business domains to drive EPAM's data business Requirements Bachelor's degree in Computer Science, Engineering, or related field Extensive experience with Snowflake and/or Databricks Familiarity with Machine Learning and Large Language Models (LLM) Experience in building Data Warehouses and Data Lakes Expertise in Data Quality, Data Modeling, and Analytics Experience with at least one Cloud More ❯

We are looking for a Software Engineer to support the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design More ❯

/CD. Experience in managing cloud services like Google Cloud and AWS. Bonus points Startup experience. Data science/analyst experience - turning big data into meaningful insights. Experience building machine learning systems with LLMs, RAGs utilising embeddings. Technology Frontend: Typescript, Next.js, Vercel Backend: Go, Postgres, Encore.dev, Google Cloud Services: GitHub, Sentry, Stytch, OpenAI Perks & Benefits (for UK-based More ❯

Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. Certification in cloud data engineering (e.g., AWS Certified Data Analytics) What We'll Offer You In Return: The More ❯

CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power BI). Exposure to machine learning or AI frameworks in financial modeling is a plus. A collaborative, team-oriented mindset with a passion for continuous learning and innovation. PGIM welcomes all applicants More ❯

and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET More ❯

and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET More ❯

technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight More ❯

Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. More ❯

effectively compete in their chosen markets. By joining us, you will be diving into a world of data-driven exploration and innovation, revolutionising financial insights through cutting-edge technologies, machine learning and predictive analytics. Your contributions will shape the future of cross-border finance, helping clients such as HSBC, Lloyds, Mastercard, PayPal, Visa and The World Bank to More ❯

data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in More ❯

ensure high availability and performance of our applications. Security: Ensure robust security practices and compliance throughout our infrastructure and deployment processes. Collaboration: Work closely with software engineers, AI/ML engineers, and other stakeholders to support development and operations needs. Automation: Automate repetitive tasks and improve overall efficiency through the use of scripting and configuration management tools (Ansible, Terraform, etc. More ❯

Bring Proven experience in cloud-based data engineering (Azure, Databricks) Strong Python/PySpark skills and DevOps automation experience Familiarity with Kubernetes, Kafka/Event Hub, and AI/ML platform integration Certifications in Azure, Databricks, or data governance tools (a plus) A collaborative mindset and a passion for continuous improvement What We Offer A chance to work on enterprise More ❯

Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR, HIPAA, etc.) Exceptional communication and stakeholder engagement skills Bonus Points For: Experience with CI More ❯

Solutions London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Remote Solution Architect - Java, AWS, AI/ML London Area, United Kingdom 100,000.00-130,000.00 15 hours ago Solution Architect | Risk | Up to 200,000 London, England, United Kingdom 1 month ago London, England, United Kingdom More ❯

with AWS/GCP/Azure, Postgres/MySQL, and Redis. Microservices & DevOps : Solid grasp of microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins) AI/ML Foundations : Familiarity (or eagerness to learn) LLM libraries, vector stores, and RAG paradigms Sector specific knowledge: Experience with financial data systems or forecasting models Communication & Collaboration : Skilled at articulating technical More ❯

principles Experience with IaC and DevOps tooling such Terraform, Packer, Ansible, Chef, Gitlab Experience with containerization technologies and orchestration tools Familiarity with data preprocessing and feature engineering techniques for ML model training. Familiarity with MLOps tooling Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Contributory pension scheme Private Medical Insurance Life Assurance Cycle More ❯

in Node.js , Python , Go , or similar languages. Experience designing and operating cloud-native systems (AWS, Azure, or GCP) with a focus on scalability and resilience. Familiarity with AI/ML systems , or demonstrable ability to quickly ramp up in highly technical, ambiguous domains. Strong knowledge of REST APIs , distributed system design, and performance optimization. Experience with both SQL and NoSQL More ❯

Innovation & Evolution: Stay up to date with Azure capabilities, contribute to capability assessments, and actively suggest improvements or new services that align with company strategy (e.g., enabling AI/ML or hybrid connectivity). Core Skills & Experience 2-4 years hands-on experience with Azure cloud environments in production. Strong experience with: Terraform CI/CD tooling (GitLab, Azure DevOps More ❯

exposure to Blue, Athena, Genesis, and EEL pipelines is highly desirable. Consulting background preferred, with a focus on delivering high-quality solutions and adding value to clients. Knowledge of ML Ops and machine learning concepts is a plus - If not, you will get exposure in this role! If you are someone who really quality controls your output and More ❯

Reporting: Create dashboards and reports to communicate insights to non-technical stakeholders. Performance Evaluation Assess the impact of housing initiatives and recommend improvements. Machine Learning Applications Use ML to optimise resource allocation, predict tenant behaviour, and automate processes like arrears risk scoring. Data Governance: Maintain data quality, security, and compliance with GDPR and other regulations. Stakeholder Collaboration Work More ❯

via an Umbrella company. About the role: We are looking for talented and experienced data scientists with experience to join our programme. Solid knowledge and experience of AI and ML is essential. Key responsibilities include: Design and develop AI/ML based solutions Work with other data scientists to build and deploy production-level solutions Troubleshoot and debug code Work … business problems About you: Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines) Version Control (Git): To maintain reproducible and collaborative workflows More ❯

ll work collaboratively with colleagues across the business, using your technical and analytical skills to deliver value-driven solutions. You’ll also help shape our culture of curiosity, continuous learning and rapid delivery; getting data products into the hands of users quickly and effectively. What you’ll be doing: Deliver actionable insight by analysing data, building models, and communicating … findings Use tools like SQL and Python to extract and transform data and develop analytical solutions and machine learning models Create data visualisations that make complex information easy to understand and act on Support quick turnaround data requests that deliver value in days, not weeks Contribute to the development of our data science roadmap Work closely with the … wider Data, Analytics & AU team and stakeholders across the business Share your knowledge with colleagues and develop your skills by learning from others About You What we’re looking for: A problem-solver who’s passionate about using data to make a difference Able to tell stories with data and communicate insights clearly to all audiences Curious, collaborative and More ❯

provide deep customer insights, predict behaviour, and enable hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in … data science, AI, and big data technologies. Challenge the status quo and always look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership … a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong technical expertise in AI/ML and advanced analytics. Excellent problem-solving, communication, and stakeholder management skills. Strategic vision and business acumen. **Please note that this role does not offer visa sponsorship** How to Apply: Register More ❯