151 to 175 of 1,316 Machine Learning Jobs in England

Reliability Engineer An exciting opportunity for a Site Reliability Engineer to join an award-winning, Cambridge-based AI software company at the forefront of machine learning innovation. As a Site Reliability Engineer, you will play a key role in maintaining and enhancing cloud infrastructure, monitoring systems, and deployment … processes, ensuring the reliability, scalability, and security of a sophisticated machine learning platform deployed across cloud environments. Location: Cambridge, hybrid working model 3 days in office not easily reachable via public transport from London Salary: £40,000 - £60,000 per annum, depending on experience Requirements for Site Reliability ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … needs of GS engineers. Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms) Provide technical guidance and support to other team members and stakeholders. Stay up to date with the latest industry trends ...

significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation … maturity Clear communication skills and the ability to build credibility with non-technical stakeholders Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential. What They Offer The chance to shape a growing Data Science function and influence technical direction High-impact ...

contexts. Working closely with the founders, you will influence both the technical roadmap and future diversification into new application areas. Key responsibilities include: Developing machine learning and computer vision models focused on human attention, perception, and intent Designing and running experiments independently across visual and spatial data Working … leading academic venues while working on applied problems Your Skills and Experience PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field Strong publication record, ideally at venues such as CVPR or ICCV, or equivalent ...

help unlock the value of its data. This is a hands-on role where you’ll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights. You’ll have the freedom to own problems … Doing Designing and building data science solutions using Python Exploring datasets to uncover trends, patterns, and opportunities Applying statistical methods and machine learning techniques to solve business challenges Using clustering and segmentation to enhance analysis where relevant Translating technical outputs into clear insights for a range of stakeholders ...

strong foundation in data engineering or software development, who is passionate about data and AI. You will gain exposure to modern data platforms, machine learning and emerging technologies such as generative AI. You will work closely with analysts, engineers and business stakeholders, helping to translate requirements into robust … from multiple sources, ensuring consistency, quality and reliability Optimise data processing, storage and model performance for efficiency and scalability Develop and implement AI and machine learning models Support the development of generative AI solutions using large language models and prompt engineering Produce clear technical documentation covering pipelines, models ...

strong foundation in data engineering or software development, who is passionate about data and AI. You will gain exposure to modern data platforms, machine learning and emerging technologies such as generative AI. You will work closely with analysts, engineers and business stakeholders, helping to translate requirements into robust … from multiple sources, ensuring consistency, quality and reliability Optimise data processing, storage and model performance for efficiency and scalability Develop and implement AI and machine learning models Support the development of generative AI solutions using large language models and prompt engineering Produce clear technical documentation covering pipelines, models ...

implementation of AI solutions, helping Ridge unlock new levels of value, efficiency and insight through intelligent automation, advanced analytics and machine-learning capabilities. In this role, you will be instrumental in driving the discovery of AI opportunities across our various disciplines. You will collaborate closely with project teams … coding languages such as Python Demonstrated experience with low-code no-code platforms, preferably within Copilot Studio Proven experience with delivering AI and machine learning projects Experience spanning small, isolated implementations to larger org-wide initiatives Experience in data analysis, machine learning and AI development Hands ...

forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors. The Role and Deliverables You will take ownership … data science delivery, from problem definition through to deployment in live environments. * Design, build, and deploy machine learning models within Pega-based decisioning platforms. * Lead model development across feature engineering, training, validation, and ongoing performance monitoring. * Work closely with application and logic developers to embed models into operational ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes. The Role You will join a blended Data Science … will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring. Key responsibilities include: Owning and delivering machine learning and AI projects from problem definition to production. Designing models from scratch across both structured and unstructured data use cases. Building ...

Build and maintain scalable data pipelines and ETL processes Engineer data workflows and decision‐support tools on Palantir platforms Work on applied AI and machine‐learning use cases Deliver Palantir implementation and advisory work across enterprise clients Combine software engineering expertise with strategic problem‐solving Work directly with … maintainable solutions Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases Collaborate with colleagues on analytics, AI, and machine‐learning initiatives Mentor junior engineers and contribute to engineering best practice Build trusted client relationships and support long‐term transformation outcomes Key Requirements ...

businesses, Innovo Data designs scalable data platforms, implements advanced analytics solutions, and drives data-driven decision-making. With expertise in data strategy, cloud platforms, machine learning, and AI-driven automation, the company focuses on delivering outcomes that matter, not just dashboards. Guided by a commitment to data integrity … Qualifications Proficiency in Data Science and Data Analytics Strong skills in Data Analysis and Statistics Excellent Analytical Skills for solving complex problems Familiarity with machine learning frameworks, programming languages (e.g., Python, R), and relevant tools Effective communication skills to present data insights clearly Ability to work independently ...

cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will … Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management ...

capability from the ground up, operating at the intersection of investing, quantitative analytics, and modern software engineering. The role spans investment infrastructure, machine learning, automation, data engineering, and analytics. The successful candidate will work closely with investors across both private and public markets to develop systems that enhance … technology architecture, including cloud infrastructure, vendor management, cybersecurity resilience, and data governance. Qualifications The ideal candidate will come from a quantitative development, data engineering, machine learning, or research engineering background, ideally within a hedge fund, asset manager, investment bank, fintech, or alternative investment platform. Required Skills Candidates should ...

development and advanced analytics while building and scaling a high-performing, multidisciplinary team. You will oversee the end-to-end development and deployment of machine learning models and predictive analytics, while also managing the Business Intelligence (BI) and Data Analysis functions. This is a high-impact role requiring … support international expansion. Key Responsibilities Technical Leadership & Data Science Execution Design, build and deploy predictive models, pricing algorithms, and segmentation frameworks. Apply statistical modelling, machine learning and experimentation techniques to real‐world business problems. Use Python, R and SQL for data exploration, feature engineering, modelling and evaluation. Select ...

high-impact analytics and innovation team. This is a fantastic opportunity for a data professional who is passionate about using advanced analytics, AI, and machine learning to influence strategic decision-making at scale. The Opportunity As a Senior Data Scientist, you will play a key role in transforming … services organisations. Key Responsibilities Analyse large, complex datasets to uncover trends, patterns, and insights that inform strategic decisions Design, develop, and deploy statistical and machine learning models to solve business problems Apply AI and advanced analytics techniques to enhance decision-making and operational efficiency Write high-quality, production ...

Microsoft Fabric and AI-driven data capabilities. This role offers the opportunity to work on a modern data platform while also contributing to how machine learning and AI-driven insights are integrated into production environments. You will play a key role in shaping how data is used across … supporting analytics and reporting Support and enhance Azure Synapse and Azure Data Lake environments Contribute to the migration and adoption of Microsoft Fabric Integrate machine learning and AI-driven outputs into data pipelines Develop and support Power BI datasets and reporting layers Mentor Data Engineers and support best ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

clients and support the sales cycle. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds … sales team, playing a key client-facing role in driving sales conversations forward, delivering Proof of Concepts, and supporting live customer engagements for a machine learning platform Location: Central London - 3 days in office/2 days remote Salary: Competitive + bonus + healthcare, pension, etc. Requirements ...

reviewed. Data Scientist We are looking for a Data Scientist to join our team and help drive business value through the development of machine learning solutions to business problems, meeting customer needs and driving measurable value. You will be part of a diverse, international, collaborative team focused … Modelling Collect and integrate data from a diverse range of sources, ensuring quality and accuracy prior to use in model creation. Apply statistical and machine learning techniques such as regression, Bayesian modelling, or time-series analysis to improve our UK marketing effectiveness model. Apply learnings from ...

Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability … analysis Run exploratory data analysis and turn it into questions which can be answered with analytical techniques Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems Communicate results clearly and effectively Take care of unclear and ambiguous requirements ...

ML Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models … with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What Youll Work On ML lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines ...

fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving … forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across ...