726 to 750 of 4,931 Machine Learning Jobs in England

Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm. The current data landscape reflects IG’s growth: a combination of GCP-native capabilities, on-premises systems … with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion ...

scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations …/data outputs Awareness of responsible AI principles (bias, privacy, explainability, human oversight) Salesforce certifications (e.g., AI Associate, Agentforce Specialist) or equivalent demonstrated learning Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect ...

back-end, and AI engineering teams Define and implement solution architecture, engineering standards, and best practices Drive the integration of Generative AI, LLMs, and machine learning capabilities into production services Work closely with senior stakeholders, product teams, architects, and delivery leads to align technical solutions with business objectives ...

clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams. Take ownership of data governance, security, monitoring and platform costs. Line-manage, develop and help grow the Data ...

Senior Research Engineer - Machine Learning & Generative AI 12-month contract | £81,000-£90,000 | London | Hybrid - 3 days onsite We're hiring an experienced Senior Research Engineer to join a world-leading technology organisation working at the frontier of AI and machine learning research . This … training, reinforcement learning, generative AI or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in AI/ML is advantageous but not essential. Deadline for this role is Monday the 14th of September. #J-18808-Ljbffr ...

clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams. Take ownership of data governance, security, monitoring and platform costs. Line-manage, develop and help grow the Data ...

Advanced knowledge of software 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 Experience in Computer Science, Computer Engineering, Mathematics ...

disciplined in managing your time to ensure success. You will help shape and build prototypes covering a spread of domains such as AI/ML, AR/VR/Spatial, IoT and Serverless. Most prototypes explore the art of the possible with Generative AI. The ability to learn new technology … Push the technical bar. You will have appetite and take the initiative to learn new topics and experiment, covering domains such as AI/ML, agentic design, serverless and IoT in an enterprise context. Be great fun to work with. At AWS, we have a credo of “Work hard. Have ...

collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them. Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio. Methods was acquired by the Alten … organisations. Experience developing data strategies, AI strategies, transformation roadmaps, business cases or investment cases. Strong understanding of Data & AI capabilities, including analytics, AI/ML, GenAI, data platforms, data governance, architecture and adoption considerations. Experience prioritising use cases based on value, feasibility, risk, organisational readiness and strategic alignment. Experience working ...

operational support. Produce architecture artefacts, technical designs and implementation roadmaps. Ensure solutions are scalable, maintainable and aligned to enterprise standards. Design agentic AI, GenAI, machine learning and automation solutions integrated with business processes and enterprise systems. Customer Advisory & Consulting Act as a trusted advisor to customer stakeholders, technology … part of our benefits package: Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. Flexible working: Flexible work arrangements to support your work-life balance. We can’t promise ...

most exciting data sets in the UK. Our massive datasets, comprising billions of data points from diverse sources across the retail landscape, drive machine learning models that enhance personalisation and product recommendations. This work directly impacts millions of customers daily. In our inclusive, agile environment, you’ll have … entire SDLC, and embodying DevOps principles. Proven experience in software design and implementation, security, cloud infrastructure & monitoring CI/CD. Enthusiastic about continuous learning, especially in emerging tech. What I need to show A positive approach to change A solution‐focused mindset with creativity and adaptability Good communication skills ...

solving technically challenging problems. Hands‐on experience with modern AI coding assistants such as Claude or Codex. Nice‐to‐haves: Experience with AI, machine learning or scientific computing. Experience working on inference, optimisation or other computationally intensive workloads. Previous experience in an early‐stage startup. Experience working effectively ...

against targets, flagging trends and anomalies early. Collaborate across channels and teams. Work with analysts on CRM, Display, and Affiliate Marketing, as well as ML colleagues, to spot opportunities where search insights connect to the bigger marketing picture. Bring an AI-curious mindset to the work. Look for opportunities … something ranks, why traffic moved, and what it means for the business A true team player — you work well with analysts from other channels, ML colleagues, and stakeholders across the business, and you're generous with your time and ideas Genuinely interested in AI — you've played with AI tools ...

clear data definitions. Enable secure, self-service data analysis through modern AI tools. Automate manual, repetitive and fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams through a unified platform. Own data governance, platform security, monitoring and operating costs. Manage, develop and help grow ...

clear data definitions. Enable secure, self-service data analysis through modern AI tools. Automate manual, repetitive and fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams through a unified platform. Own data governance, platform security, monitoring and operating costs. Manage, develop and help grow ...

core data platform, with the opportunity to expand your horizons by contributing to work across our full stack — C#, Python, Node, React, R, and Machine Learning and by getting involved as we begin to bring modern data fabrics such as Snowflake and Databricks alongside our SQL Server core. … pension scheme Health and Wellbeing – Healthy work/life balance with a hybrid working pattern and support to make your home set up comfortable Learning and Development – Professional development opportunities through seminars, conferences, training and courses and internal mentorship Community – Supportive, collaborative and social team environment Our commitment ...

into reality and influence how things are made. Задачи Collaborate on research and product projects with a diverse, global team; Build and iterate on ML pipelines, prototypes, and evaluation workflows to enable rapid deployment and testing of experimental models; Work with complex datasets and representations for model training, evaluation … errors and provide solutions; Present results to collaborators and leadership. Требования BSc or MSc in Computer Science, or equivalent industry experience; 3+ Years of machine learning experience; Experience working in research or experimental environments with evolving requirements; Proficiency with modern deep learning libraries and frameworks, including PyTorch ...

/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 ...

Posted on 03/11/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Role Overview The Associate Software Developer – Adobe DXP will be responsible … compliance. Collaborate with DevOps and IT Operations teams to automate deployment and operational tasks. Mentor junior developers and contribute to a culture of continuous learning and improvement. Stay up to date with AEM cloud service updates , Adobe ecosystem advancements, and emerging web development trends. Coordinate with Adobe support ...

analytical techniques to measure the true return of our SEM spend. Collaborate closely with cross-functional teams such as Marketing and Data Science/Machine Learning to align on strategies, share insights, and ensure objectives are met. Check on marketing performance daily and regularly report outward … manage multiple projects, prioritize tasks and meet deadlines while maintaining a high level of accuracy and attention to detail. Has a genuine passion for learning and self-improvement, continuously seeking out new opportunities to expand knowledge and skills. Prior exposure to Paid Search, Bidding, and Marketing KPIs ...

evolve. What you’ll bring Track record, typically 4+ years, in applied data science for product or marketing in consumer or SaaS Continuous learning mindset: you stay current with generative AI advances, prototype with new models … frameworks, evaluate them critically, and translate useful innovations into practical product improvements. You share learnings and raise the bar for the team. Hands‐on ML skills: feature engineering, propensity or uplift modeling, model evaluation, monitoring Strong Python and SQL with the ability to move from notebooks to production code Practical ...

least one of: Application software (industrial automation, networking protocols, UI frameworks, IT systems) IoT services and Cloud development (Azure, AWS, etc) AI/ML systems Cybersecurity Embedded systems (RTOS, bare metal, hard real-time) Our Offer to You Comprehensive benefits – including annual bonus scheme, 25 days annual leave + bank … with disabilities are provided reasonable adjustments to participate in the job application or interview process. If you consider yourself to have a disability or learning difficulty which means you are unable to complete the application process online, please get in touch by email to ukrecruitment@mt.com so that ...

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. ...

Services SQL and Data Management Technologies AI and Intelligent Product Ecosystems Business Intelligence and Reporting Platforms API and Integration Platforms Event-Driven Architectures Machine Learning Solutions Intelligent Workflow and Decisioning Platforms Partner with Programme Leads, Product Managers, Architects, Delivery Managers, and Quality Leadership teams. Govern supplier quality performance ...

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. ...