1,051 to 1,075 of 4,925 Machine Learning Jobs in England

software-engineering judgement alongside practical experience of building AI systems. We are particularly interested in: Around five or more years' relevant experience in software, machine learning or data engineering, with clear examples of taking applications beyond proof of concept and into production. Strong Python skills and experience developing ...

related field. Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience using Machine Learning and building solutions. Experience in an investigative role such as business intelligence, data analytics, or statistics. About The Job At gTech’s Users ...

organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards and technical roadmaps Designing conceptual, logical and physical data models ...

products and features, owning delivery from problem definition and prototyping through production release across Swift, Java, and Python codebases Establish engineering standards across the ML development lifecycle, including testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams … turn emerging capabilities into scalable, user-centric solutions Mentor ML engineers, raise technical quality, and foster rigorous experimentation and engineering craft Требования: Extensive hands-on Machine Learning engineering experience and a track record of shipping ML-powered products at scale Practical expertise in LLM fine-tuning, alignment ...

Full Stack Developer to help design and deliver the next generation of AI-powered applications for enterprise customers. This isn’t a traditional Machine Learning or Data Science role. They need a strong full-stack software engineer first — someone who knows how to build secure, scalable, production-grade ...

background on Rotageek Rotageek helps businesses optimise staff scheduling through data-driven technology. By combining machine learning and advanced algorithms, we help organisations forecast demand, improve workforce management and give employees greater control over their schedules. Our solutions drive operational efficiency, improve customer experiences and help reduce staff … quality from the start, rather than treating them as later hardening work. You mentor through the work, share knowledge generously and turn mistakes into learning through blameless review. The impact you’ll make Rotageek’s analytics estate is modelled, governed and easier to understand rather than growing through disconnected ...

intelligent automation solutions—from discovery through to delivery and optimisation. Technical & Domain Expertise Hands‐on experience with Intelligent Automation technologies (e.g., RPA, AI/ML, NLP, IDP). Knowledge of on‐premise and cloud architectures. Understanding of business analysis methods such as BPMN and DMN. Awareness of RTA legislation … automation within sustainability topics. Experience developing technical capabilities within teams. Design solutions across IDP, NLP, ML, RPA, workflow orchestration, and low‐code platforms. Assess client automation maturity and shape strategic roadmaps. Create compelling G2M materials and C‐Suite-level packs, alongside detailed solution architecture. Technical Tools & Platforms Experience with ...

continuous and sustainable. We enable organisations to become the best version of themselves. We believe in hiring talented people with the right attitude and learning potential. The company is now going through an exciting phase of growth, and we hope you can join us on our journey. Our hiring … practical application of Team Topologies) Experience as a data practitioner, at either a technical or strategic level Experience designing and delivering solutions across AI, ML and LLMs, with corresponding certifications Experience as an Enterprise Architect, defining and agreeing digital, data and technology strategies aligned to business priorities Exposure to regulated ...

demonstrated history of success with technical solutions in the enterprise market, preferably in the Business Intelligence, Data Warehousing, Data Engineering, Analytics, or AI/ML space. The successful candidate will have a strong understanding of how technology can solve business challenges, possess a consultative approach, and value teamwork while being … company success Manage multiple customer engagements simultaneously while maintaining a high bar for responsiveness, quality, and execution Work as a team player by continually learning, sharing knowledge, and contributing to best practices across the Solutions Engineering organization Be self‐motivated, flexible, and proactive in a fast‐paced and evolving ...

everything - but you should be comfortable learning quickly and shipping continuously.**Experience*** 2-5 years of experience in software engineering, AI engineering, or ML systems**We value evidence of building, including:*** Shipped products* Real systems running in production* Open-source contributions* Side projects and experimentationDemonstrated delivery matters more than ...

quality and collaborative solutions. Established in 2013, we specialise in cloud migration and development, digital transformation including agile software development, DevOps, automation, data and machine learning... We are seeking an experienced Senior Data Engineer to design, build and operate production‐grade data pipelines and architectures that enable AI‐driven … driving stakeholder confidence from the outset What’s in it for you: An opportunity to join a fast‐growing company Options for career advancement Learning and development opportunities Flexible working environment Competitive salaries based on experience Equal Opportunity Employer: Amach is an equal opportunity employer and makes employment decisions ...

ensure that the pressure to deliver does not erode the long-term viability of our systems. Drive the AI agenda:lead on AI/ML tooling across the organisation, identifying opportunities that move the needle for national security. Act as the final word:serve as the ultimate escalation point … governing engineering standards and compliance frameworks. Familiarity with modern practices such as Agile, DevOps, and CI/CD. A passion for AI/ML and the ability to implement these technologies within a complex delivery structure. Experience leading engineering communities of practice or making high‐level technical investment decisions. Your ...

solutions. Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern engineering practices. Experience with AI, machine learning, IoT, and Oracle environments is advantageous. Demonstrable experience establishing engineering standards, DevSecOps practices, automated testing, monitoring, data quality controls, and reliable production ...

/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 Practical cloud native experience ABOUT US J.P. Morgan ...

React, with Experience delivering both front-end components and back-end services. Practical Experience with Snowflake, AWS SageMaker or comparable cloud-based data and machine-learning services. Ability to translate complex business requirements into scalable, robust and efficient technical solutions. Good knowledge of DevOps practices, CI/ ...

/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 Practical cloud native experience ABOUT US J.P. Morgan ...

Advanced knowledge of software architecture, applications, and technical processes with considerable in‐depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Ability to evaluate current and emerging ...

techniques, including quantisation, speculative decoding and model parallelism across modern GPU architectures Strong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloads Strong communication skills, with the ability to collaborate across research, infrastructure and engineering teams Why join us? Highly competitive compensation plus ...

/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In-depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

methodologies, CI/CD, application resiliency, and security Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with coding assistants and development harnesses to streamline software delivery. Hands-on experience using enterprise-authorized AI-assisted software development tools ...

technical and non-technical stakeholders. Preferred Qualifications Experience building centralized internal platforms or shared engineering services for operational or enterprise users. Experience applying AIOps, machine learning, or intelligent automation within production support or reliability engineering environments. Exposure to CI/CD pipelines, infrastructure as code, API-driven automation ...

methodologies, CI/CD, application resiliency, and security Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In‐depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience ...