526 to 550 of 4,929 Machine Learning Jobs in England

skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards ...

Payments, FinTech, or digital assets domain knowledge. Workflow automation (n8n, Zapier, or similar) and reverse ETL. Not required Data engineering, data science, streaming infrastructure, machine learning, or software engineering. Background 4+ years in analytics engineering or a comparable role. Degree subject matters far less than how you reason. ...

Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

/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.). Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful ...

sales lifecycle in a technical pre‐sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform ...

Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. The Machine Learning Engineer role sits within Client Delivery, embedded … Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning ...

tech stack, moving forwards. Depending on the candidate’s interests, there will be room to work with our other developers on the application of machine learning tools to extract and model data (e.g. PyTorch, TensorFlow). Minimum Qualifications We are looking for a candidate with at least ...

sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform ...

reuse. Help reduce one‐off security consultations by embedding approved security decisions into tooling, templates, and standard delivery workflows. Requirements Essential - Experience in machine learning engineering. Strong experience in cloud security engineering, application security, security architecture, DevSecOps, or security automation. Hands‐on experience with at least one major ...

alerting solutions. Knowledge of BI platforms such as Tableau and how data products are consumed by end users. Exposure to MLOps practices, including supporting machine learning pipelines, model deployment and monitoring. Awareness of emerging trends, technologies and best practices within modern data engineering. Why Join Bionic At Bionic ...

change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Strategic Technology Group Strategic Technology Group … connected customer experience platforms. Ability to lead multi-disciplinary architecture teams covering cloud, data, cybersecurity, applications, infrastructure, and business domains. Experience implementing AI/ML-driven use cases including demand forecasting, inventory optimization, personalized customer experiences, intelligent supply chains, and predictive logistics. Strong understanding of SRE, AIOps, observability, automation-first ...

prompting. An understanding of point in time data is a strong plus Also desirable: experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant or similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics ...

building a governed, interoperable data estate that enables self‐service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. The Senior Data Reporting Analyst owns the provision of trusted, accurate and timely reporting, partnering directly ...

work collaboratively in a team environment. Ability to communicate complex ideas effectively, both verbally and in writing A strong software engineering background with machine learning expertise to understand how the user facing product will tie into backend and architectural decisions Nice to Have Experience with FHIR ...

small, senior team developing the software foundations for iCOMAT’s design and manufacturing capability. The current team brings experience across engineering software, machine learning and production-grade software delivery. We work closely with iCOMAT’s structures, robotics and manufacturing engineers to understand the problems that matter most, then ...

rates, exposures at default, forecasting models for net revenue, balance sheet projections, scenario generation/expansion, operational risk, climate change, economic capital models and machine learning models for fraud detection, all while using the latest model development approaches and advancements in technology. The chance to make an impact ...

procedures for commercial analytics workflows Active contributor to continuous improvement initiatives—modernizing tools, automating manual workflows, or driving adoption of new technologies (AI/ML, advanced analytics, dashboarding) Preferred Qualifications: Prior experience at a major energy company or independent trading house Exposure to both physical and paper distillates markets, including … culture where people with disabilities can excel through support in role and long-term career opportunities including workplace adjustments. Chevron considers itself a learning and flexible employer and wants to support everyone to bring their best self to every day. Chevron is an Equal Opportunity employer. Qualified applicants will ...

assess model performance and guide technical direction. Collaborate with engineers, product managers, applied scientists, and domain experts to translate ambiguous business problems into scalable ML solutions. Contribute to system design, low-level design, API development, and data modelling for production machine learning systems. Build and operate production solutions … using technologies such as Python, TensorFlow, PyTorch, Redis, Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build ...

fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power. We are looking for exceptional machine learning researchers to join our efforts. … develop new signals that can enhance portfolio returns, or predict other variables of interests. Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities. Desirable Candidates Master's or PhD in machine ...

real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.Your colleagues will include internationally recognized experts … ability to collaborate effectively with researchers whose primary expertise is not software engineering Preferred Qualifications Experience with experiment management, model evaluation pipelines, or ML workflow orchestration Familiarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training) Experience with performance profiling and optimization of numerical or modeling ...

data platform that enables both the decisions we make internally and the data-driven features our customers rely on. Working with the Data, ML, Platform, and Product Engineering teams, you will keep ingestion, modelling, and orchestration dependable, and define the modelling, testing, and documentation standards the data function depends on. … data with confidence. What You’ll Do Set the architectural direction of our data platform so it serves analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer, and quality standards the data function ...

enterprise customers navigating complex analytics modernisation challenges, whether migrating from legacy on‐premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML‐ready data foundations. You’ll translate ambiguous business requirements into scalable, cost‐effective analytics architectures that accelerate time‐to‐insight. You will join a team … provide customer feedback to analytics product teams, participate in private betas, and shape future service capabilities. Collaborate across specialist teams — work with AI/ML, Security, and Migration specialists to connect analytics foundations to downstream ML and GenAI workloads. About the team We’re the AWS Analytics Specialist Solutions Architecture ...

team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games. Responsibilities: Design, build, and maintain robust end-to-end solutions … running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device performance. Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. Write ...

management, warehousing, fulfilment). Ensure platform scalability, performance, security, and uptime as traffic and transactions increase. Champion innovation and the adoption of AI/ML driven tools and solutions to efficiencies across the business. Embed best practice across all platforms, systems, tools and functions. Leadership & Team Management Build and lead … roll up your sleeves and support the team directly when needed. Genuine enthusiasm for emerging technology, with experience identifying and implementing AI/ML - driven tools to improve efficiencies. Background in direct-to-consumer (DTC), omnichannel retail, or international expansion. Strong background in software architecture, cloud infrastructure ...

data and regulatory controls. You will design, develop, and operate secure, reliable, and scalable systems that power business controls, analytics, reporting, and AI/ML use cases. You will partner closely with domain teams, platform engineering, and operations to deliver production-grade services and curated datasets aligned to platform standards … data quality, observability, and metadata management practices and tools (data validation frameworks, lineage, monitoring, and alerting) Experience enabling analytics, reporting, and AI/ML workloads through curated datasets, performance-optimized pipelines, and reliable service interfaces Experience developing or supporting regulatory controls use cases, including auditability, traceability, and evidence-driven control ...