201 to 225 of 4,923 Machine Learning Jobs in England

foundation in probability, to support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices … founding member of the organization that's delivering brand-new products that democratize modeling and analytics solutions. Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join ...

explain complex ideas to specialists and non-specialists alike. Skilled at writing high-quality Python code using modern software development practices. Confident analysing and learning from large-scale datasets in a scientific context. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments … particularly R or C++. A PhD or postgraduate degree in a scientific field, ideally genomics, bioinformatics or computational biology, with familiarity in statistics and machine learning. Prior experience working in a team, ideally in an industry setting. Your Package We are committed to providing a transparent, supportive, and rewarding ...

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 Bachelors degree or equivalent experience; Masters degree is a plus Responsibilities ...

transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with using low code applications such as Microsoft Copilot Studio and Power Platform. ...

technology and regulation and translating them into practical action. What we look for Demonstrated proficiency in: Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative ...

Longshot Systems we build advanced platforms for sports betting analytics and trading. We're hiring Machine Learning Engineers across our core ML engineering and horse racing teams. You'd be designing, building and productionising ML pipelines, tooling, visualisation, frameworks and data engineering workflows to support strategy research, analysis … latency components forward. The ideal candidate will have a strong software engineering background with a track record of building and maintaining production-grade ML pipelines. We are looking for engineers who are comfortable designing robust data engineering workflows, building reliable tooling, and writing clean, maintainable Python code alongside high-performance ...

model governance practices, including clear documentation, version control and validation protocols. Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis and quantitative modelling. Collaborate with Enterprise Technology, Information Technology and Investment Risk ...

quality data and technology services to clients across both the public and private sectors. Youll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands-on experience … Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes-based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets. Participate in code reviews and internal knowledge-sharing sessions. Provide guidance to junior engineers ...

Extra Credit, or The Focus Areas You Will Develop Experience with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions … specific Competitive salary and unlimited PTO Generous healthcare benefits with medical, dental and vision coverage Monthly catered lunches and happy hours Company-paid learning and development assistance Dependant care assistance plan UK specific Competitive salary, pension and benefits Generous private medical healthcare insurance with dental and vision coverage Extra ...

built - your early decisions will define how agents behave across the whole system for years to come. Qualifications 8+ years’ experience in AI/ML or software engineering, including designing and shipping agentic systems into production, not just prototypes Experience architecting agent governance for high-stakes domains: guardrails, autonomy levels … inclusion is a key part of this; it helps us better serve our customers, employees, and business partners from every background. We are constantly learning and striving to do better, and we expect all staff to actively take part in this process. We will not be offering UK work ...

enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness ...

model governance practices, including clear documentation, version control and validation protocols. Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis and quantitative modelling. Collaborate with Enterprise Technology, Information Technology and Investment Risk ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

configurations and content managed through Infrastructure-as-Code and DevOps principles. AI – Drive the adoption of emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response. As the successful candidate ...

What you'll do Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … Publish, contributing to papers, technical reports, and conference talks that put the Lab's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. What ...

power production‐ready intelligent systems and drive scalable outcomes across the firm. Success in this role means delivering reliable, secure, and well‐governed ML systems that integrate into design workflows, are adopted by teams, and improve decision‐making across the firm. You will help shape these capabilities inside an established … reliable Azure-based ETL/ELT pipelines that deliver clean, documented data to models, APIs, internal applications, dashboards, and Gensler IP. Own the production ML lifecycle on Azure — deployment, monitoring, versioning, retraining, rollback, and incident response — including model registries, feature stores, evaluation frameworks, and benchmarking. Implement CI/CD, testing ...

deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern … frameworks, and industry trends relevant to intelligent application development Required Skills 5-8 years of Python development experience, with 2+ years of AI/ML development Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI Experience with API development, integration, and web services in production ...

your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios … company Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis Experience with production deployments ...

graph networks, behavioral biometrics, anomaly detection, and GenAI-based systems.You'll document validation outcomes and communicate model risks directly to first-line data scientists, ML engineers, and business stakeholders.Who you areYou've spent 3+ years hands-on in fraud-related modeling — transaction fraud, account takeover, identity fraud, or payments fraud.You … graph or network models well enough to challenge someone else's implementation choices, not just build your own.You've worked across the full ML lifecycle — from feature engineering through production deployment and monitoring — and know where each stage tends to go wrong.You're fluent in Python ...

shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers, product managers, and ML engineers to turn complex data challenges into reliable, scalable production systems. We're building a lot: a TopRank Sponsored Listings data platform on BigQuery … best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog. Collaborate with ML engineers and data scientists to productionise models and agentic tooling built on internal AI platforms, with hands-on use of AI-assisted development tools such ...

reports (Power BI, Tableau) that provide actionable insights to operations and leadership.* Collaborate with data engineering teams to define data requirements for AI/ML model development.* Champion a data-driven culture across the 3PL business.**AI & Digital Acceleration*** Identify, evaluate, and champion AI/ML and automation opportunities across ...

reports (Power BI, Tableau) that provide actionable insights to operations and leadership.* Collaborate with data engineering teams to define data requirements for AI/ML model development.* Champion a data-driven culture across the 3PL business.**AI & Digital Acceleration*** Identify, evaluate, and champion AI/ML and automation opportunities across ...

products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility Take an active role … ML community, helping foster a culture of rigorous learning and experimentation We'd love to hear from you if you have An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experience Considerable experience productionising machine learning models, with strength in an area ...

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 ...

Data Science. 4+ years of experience in engineering, with 2+ years in customer‐facing or field roles. Proven success building and deploying AI/ML or data‐intensive applications in production. Deep full‐stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/ ...